Is there gender equality in the digital art world?

Roxanne Vardi and Pau Waelder

Composite photo of the artists (left to right): Dagmar Schürrer, Snow Yunxue Fu, Marina Zurkow, Claudia Larcher, Alexandra Crouwers, Tamiko Thiel, Claudia Hart, Sasha Stiles, Yuge Zhou, and Chun Hua Catherine Dong.

It is a well-known fact, although not properly acknowledged, that over the course of history women artists have been underrepresented in the art world, and in general have been undervalued and underpaid at auction houses, galleries, and museums. As the art historian Katy Hessel, author of the celebrated book The Story of Art Without Men, points out: “it’s actually down to who has been able to tell the story of art history.” Women artists have been routinely erased from art history, or included in relation to male artists, their talent minimized as they were portrayed merely as lovers or muses. In the art market, women artists have not fared better. Traditionally, art galleries have represented far more white men than any other group combined, and as recent reports indicate, the situation hasn’t improved: the Burns-Halperin Report on equity and representation in US museums and the art market, presented in December 2022, indicates that auction sales of works by women artists represent only 3,3% of total sales worldwide, and that only 11% of acquisitions and 14,9% of exhibitions in US museums feature artworks created by women.

The introduction of the digital arts and the emergence of the new media art scene have given women artists the opportunity to become early adopters both of photography and of alternate digital technologies such as VR as these novel mediums also allowed for political and artistic provocation of the accepted norms. Today in general there is also greater awareness towards this unequal tendency, and so different organizations focus on balancing out the different groups of artists which they represent. At Niio we have made it our mission to focus on presenting and promoting the works of women artists whether through the content distributed on our apps or in our editorial section. In 2022, the gender balance of our artist solo shows amounted to a total of close to 60% by women artists. This month, we are honored to showcase the artworks and art practices created by the women artists, and to present this brief survey among ten outstanding artists who have generously answered our questions.

Would you say that the digital art community behaves differently than the contemporary art world in terms of gender balance and visibility of women artists?

Alexandra Crouwers: not really – although my personal field of view in the ‘digital space’ is taken up by a generally much, much more diverse constellation of artists than the ‘traditional’ contemporary art scene I’m embedded in. Likely, the global accessibility and distribution of digital art plays a role. I do suspect museums and other art institutions working with digital media are, perhaps because of the reason above, a bit more aware of adding more women artists in exhibitions compared to the ‘traditional’ art world.

Alexandra Crouwers is an artistic researcher working in the digital realm, and oscillating between escapism and activism.

Claudia Larcher: I don’t have numbers for that, but no, I think that the visibility of women in the art world in general is still unbalanced, be it in the art world or digital art. More attention is now being paid to the issue, but the big solo shows are almost always given to the men.

Claudia Hart: Yes, although strides have been made, I would have to say that the contemporary art world is still way out ahead of the digital space. The engine running digital is innovation culture. I would even go so far as to say that digital art culture functions more as beta testers for new products.  It’s a culture of next new things, so it suffers from extreme ageism. The lowest ranked players in the digital art world are older women – not news not now, not glamorous.  It’s a cute young world.   

“The lowest ranked players in the digital art world are older women. It’s a cute young world.”

Claudia Hart

Dagmar Schürrer: Talking from my own perspective I feel that female identifying artists are quite present in the digital art community. I am based in Berlin, and I am very lucky to be surrounded by a network of strong women creating and researching in the digital art scene. Digital and new media is still kind of uncoupled from the classical art market and rather conceptually driven. It often tackles issues that are closely linked to female politics – like embodiment, social hierarchies, identity, or bias of new technologies. For example, the scene working with XR technologies is very experimental and constantly developing, and is open for fresh and unusual perspectives, which might be resonating with a female experience of a changing society. Nevertheless, it is a sad fact that women in the cultural sector are still outrageously underpaid. Statistics of the German Künstlersozialkasse (artists’ social security fund) show that in 2022 female artists earned an average of 24% less than their male colleagues, the Gender Pay Gap is therefore significantly above the German national average! 

“I feel that female identifying artists are quite present in the digital art community. Nevertheless, it is a sad fact that women in the cultural sector are still outrageously underpaid.”

Dagmar Schürrer

Tamiko Thiel: Until recently, fame in the media art world was driven more by academic voices and the few institutions that showed media art, because the art market was not interested in media art at all. This was primarily Ars Electronica due to its prestigious Golden Nica award, the ZKM because it was the primary institution with an archive and collection of media art, the festivals Transmediale and ISEA and the art gallery at SIGGRAPH.

It was always my impression that these media art institutions however tended to focus very heavily on hardware technology, “boy toys” and a very male view of what is interesting in media art, rather than taking a wider view of the value of media art. I personally was told in a private conversation by a (male) member of the Ars jury, perhaps a decade after I had submitted my VR projection installation Beyond Manzanar (2000, with Zara Houshmand) to the Interactive Art category at Ars, that the others on the jury insisted it was not innovative because it only used a simple joystick as an input device. That is to say they focused exclusively on the hardware, without considering the complex interactive narrative of 13 scenes interweaving the historical Japanese American incarceration in WW2 and similar threats to intern Iranian Americans during the Iranian Hostage Crisis in 1979-1980, and how we had constructed an interactive structure in which the user’s agency led them to be complicit in their own incarceration.

Tamiko Thiel is a pioneering visual artist exploring the interplay of place, space, the body and cultural identity in works encompassing interactive 3d virtual worlds (VR), augmented reality (AR) and artificial intelligence art.

In 2016 Heather Dewey-Hagborg and Addie Wagenknecht started the “Kiss My Ars” hashtag after noticing that in the 37 year history of Ars Electronica, 9 out of 10 Golden Nicas had been awarded to men, putting a hard number on my more vague impression of an unconscious gender bias in values.

In 2012 the new director of the Transmediale, Kristoffer Gansing, shut me down when I responded to panelist Kathy Rae Huffman’s invitation to talk about my AR artwork during what was billed as “open conversation about video art and net culture, media collectives and counter-publics”. (See this webpage for a detailed description and audio recording). This was all the more odd because the festival’s theme “in/compatible” explicitly celebrated 25 years of art interventions and proclaimed in Gansing’s curatorial statement that: “Contrary to the fear of the incompatible, so prevalent in the age of cloud-computing, the festival raises the question of what happens when incompatibility is brought to the fore rather than hidden away in the dark underbelly of digital culture?” Kathy Rae and I of course asked ourselves, if a male curator on the panel had called on a male artist to describe their work, would Gansing have shut them down, as he did to us? It was painful for us as well that no one in the audience, not even the several famous feminist artists present, said anything at all during these encounters. Gansing had just taken over Berlin’s most prestigious media art venue, and I assume no one wanted to get on his bad side.

“In 2021 the art market became aware of digital art for the first time when Beeple sold a NFT for the equivalent of $69 million. The fact that this was roughly 35x the price of the highest selling work by a female artist, ixshells, speaks for itself.”

Tamiko Thiel

Chun Hua Catherine Dong: I think the digital art community and the contemporary art world are very similar in terms of gender balance. Gender imbalance exists within the digital art community, especially in technical and coding writing. Women also are underrepresented in the field of game development and software engineering.

Chun Hua Catherine Dong‘s artistic practice is based in performance art, photography, video, VR, AR, and 3D printing within the contemporary context of global feminism.

Do you work with code-based art? If so, do you write the code, or work with collaborators? What is your experience with the community of coders and engineers?

Sasha Stiles: I’m a lifelong poet who’s always been very interested in science and technology. Though I don’t have a computer science or coding background, I’ve been writing with AI-powered large language models since 2018, and have learned basic coding to fine-tune text generators and experiment with generative visual poetics. I’ve also had a hands-on role for many years now as poetry mentor to the AI android BINA48, built by Hanson Robotics and the Terasem Foundation. I’ve frequently been in the minority at meetings and conferences, but I’ve also found a lot of support for my work in places where I didn’t expect to.

Alexandra Crouwers: I AM A SUPERUSER! We’re being overlooked, but that’s another story: there’s such a focus on code and generative abstraction at the moment, people forget most of us use those techniques too, but then as part of more encompassing works (this does not answer your question at all, haha).

Marina Zurkow: I work with coders, usually as an equal collaboration (not with teams). In my intimate work world, at present, I have an even split between male and female identified technologist collaborators.

Sasha Stiles a first-generation Kalmyk-American poet, artist and AI researcher widely recognized as a pioneer of generative literature and language art.

Claudia Larcher: I have limited skills in coding but try to do everything by myself, as I had some bad experiences with male coders. Which was also a kind of empowerment. Actually I don’t know any female identifying coders, which is a pity. The coding community as I know it, is a male-only community. Hopefully it will change in the near future.

“The coding community as I know it, is a male-only community. Hopefully it will change in the near future.”

Claudia Larcher

Claudia Hart: I’ve just produced my first Art Blocks. I was part of a group of women invited to develop a project.  I went to a meeting for the newbies, and I was the only woman present,  The rest were guy coders. I’ve also collaborated with my friend Andrew Blanton, a cute young coder, because I can’t do it for myself. Not sure I would ever do this again. 

Claudia Larcher’s work explores video animation, collage, photography and installation with a cinematic approach to storytelling, extracting narratives from nondescript, everyday spaces.

Dagmar Schürrer: I am working with XR technologies in my own artistic practice as well as a project assistant at the research group INKA at the HTW Berlin – University of Applied Sciences. INKA is an interdisciplinary group of computer scientists and cultural workers like me, producing and teaching XR projects in the cultural field at the Institute for Culture and Computer Science. In the group there are slightly more female developers, but I would say that is rather unusual and a conscious decision to support women in the STEM fields (science, technology, engineering and mathematics), which is of course great! This is not reflected in most of those degree programs, where women are significantly underrepresented, so there is still a lot to do to make these fields more attractive for women. This is also similar in the freelance sector; I have the impression that here female developers are very rare.

“My VRML artworks are all code based, and I wrote all the code myself. I have had a lot of support and no problems from the community of coders and engineers.”

Tamiko Thiel

Tamiko Thiel: My VRML artworks (Beyond Manzanar, The Travels of Mariko Horo, Virtuelle Mauer/ReConstructing the Wall) are all code based, and I wrote all the code myself. I have had a lot of support and no problems from the community of coders and engineers in terms of gender inequalities. Since 2018 my husband, the software developer Peter Graf, collaborates with me on some but not all artworks. Since he is a professional coder, he can code much faster than I!

In your experience, has the NFT market benefited gender equality in any way? Do women artists get better chances at selling their work?

Alexandra Crouwers: Not sure yet. Although in the very conservative contemporary art context I’m geographically in, I’d say I had at least a couple of disadvantages: being a women artist and working with digital media. It often felt the combination was just too much for people to handle. For me, the NFT space has connected my practice to a whole network of nodes of amazing fellow women artists, with similar experiences. On the other hand: I’ve never sold so much work in my artist life before, so purely based on that I’d say ‘yes’.

“The NFT space has connected my practice to a whole network of nodes of amazing fellow women artists, with similar experiences.”

Alexandra Crouwers

Snow Yunxue Fu works with imaging technologies, such as 3D Simulation, AR, XR, and the Metaverse in interdisciplinary explorations into the universal aesthetic and definitive nature of the techno sublime.

Snow Yunxue Fu: I do think the NFT market has opened more opportunities for women artists and all artists in general, especially at the earlier stage of its developments and expansion. However, as the NFT market has a tendency to follow the historical art market, there are still many inequalities. It is quite important to have awareness for all parties involved and make efforts to give more support to women artists.

Marina Zurkow: Among niche digital art worlds, perhaps – but not at the high-price & high-profile level. Those “spots” are consistently and disproportionately going to men.

Claudia Larcher: I read that female artists are doing better in the NFT world than in the global art world but parity is still far away. I think that people see an investment when buying NFTs, and male artists still achieve higher re-sales. 

Tamiko Thiel: The NFT market has a specific aesthetic that sells well, and I consider that aesthetic to be a very male gaze shaped by fantasy/science fiction/video games. Perhaps women artists who hide their gender do better, but as a woman artist who uses her real name, I think it helps me for intermediaries to call attention to my work and to tell potential collectors that my work is valuable. THANK YOU FOR HELPING! 🙂

Chun Hua Catherine Dong: This is a good question. I don’t get involved much at the NFT at this moment so I cannot tell whether the NFT market benefits more women artists. But the NFT market definitely is easier to enter while the traditional market requires years to build up one’s reputation.

What is your opinion about female-led NFT projects? Can you mention some projects that you find interesting?

Sasha Stiles: I’m proud to be part of theVERSEverse, a women-led poetry gallery that seeks to empower writers by bringing poets into the art world. Co-founded by Kalen Iwamoto, Ana Maria Caballero and myself, with advisor Gisel Florez and community manager Elisabeth Sweet, theVERSEverse is trying to do something that has never really existed elsewhere, on or offline. I’m constantly astounded by the vision and tireless work ethic of women in web3 and adjacent spaces: Sofia Garcia, Jess Conaster, Micol Ap of Vertical Crypto Art, Danielle King, Diane Drubay, Valerie Whitacre, Ariel Hudes, Raina Mehler, Nicole Sales Giles, Lydia Chen, Mika Bar-On Nesher, Elena Zavalev, Eleanora Brizi, Fanny Lakoubay, to name just a few. I love the FEMGEN initiative from VCA and Right Click Save, and the Unsigned project by Operator and Anika Meier, and I’m represented by such women-owned galleries as Annka Kultys Gallery in London and Galerie Brigitte Schenk in Cologne.

Marina Zurkow is a media artist focused on near-impossible nature and fostering intimate connections between humans, other species, and planetary agents.

Marina Zurkow: Christiane Paul’s curated exhibition Chain Reaction on Feral File is a good example of highly rigorous, thoughtful NFT projects that are female-led or in collaboration. I think very highly of the works of Stephanie Dinkins, Amelia Winger-Bearskin, Sara Ludy, and the McCoys because their work has not only deep logic but they are concerned with what the blockchain can DO; it’s not just another white wall in a white cube gallery.

Claudia Larcher: I appreciate the work of the Austrian artist LIA, who is a pioneer of software and net art. I think that with producing NFTs she was really compensated for her artistic work in an appropriate monetary way.

Dagmar Schürrer: I want to mention the project Unsigned by Operator and Anika Meier. It is a collection of 100 signatures from women and non-binary artists to highlight the fact that a female signature on an artwork can devalue it. Turning the signatures themselves into artworks is a very clever and strong gesture, and I love the focused and minimal realization, both conceptually and aesthetically. It is positively simple, to the point and potentially iconic.

Tamiko Thiel: I find Auriea Harvey‘s and Nettrice Gaskin‘s work simply stunning, beautiful and meaningful. They create beautiful works of art like nothing I have ever seen before, and bring together incredible depths of art history and cultural history together from a very different viewpoint as the previous several thousands of years of art. All hail! I am delighted that ixshells‘ work is valued so highly, but such purely geometric abstractions are personally not so interesting for me.

Chun Hua Catherine Dong:  I appreciate projects that are not made specifically for any kind of markets, but rather for the artists themselves or for the sake of art itself. Maybe these kinds of projects will have the potential to go both into the traditional and the NFT markets eventually, but the idea of “art made for sale” doesn’t sound right for me. Artists such as Claudia Hart, Carla Gannis, and Frank Wang Yefeng are very interesting.

In the 1980’s the feminist art movement began working mainly with photography and the newly available technological tools of the time. Do you feel that with the introduction of video art this even more so allowed artists to question older social models?

Sasha Stiles: Both my practice and personal life are implicitly feminist in that I embody taboo concepts of womanhood, from engaging in male-dominated fields to eschewing many of the social and domestic expectations that are prescribed to women. So when a large language model fine-tuned on my own work, developed to write like me, expresses misogyny and disturbing stereotypes, for example, it’s powerful. Creative AI as a new medium demands that we go beyond questioning older social systems to infiltrating them, building ourselves into them.

Claudia Hart has worked since the 1990s examining issues of identity and representation with 3D animation.

Alexandra Crouwers: Yes, Pipilotti Rist for me was the one who opened artistic doors by unapologetically using the idea of music videos as an art form, and showing how projections including audio can transform a whole space. This, again, is a very personal example, of course, but, to me, Rist provided a role model in an art education that for 95% was taken up by men.

Marina Zurkow: The number of brilliant, inspiring feminist video artists is staggering. Please don’t forget pioneers Adrian Piper, Yoko Ono, Howardena Pindell, Shigeko Kubota, and the following waves of the likes of Laura Parnes, Elisabeth Subrin, Mika Rottenberg, tackling very different aspects of life through a feminist lens.

“Creative AI as a new medium demands that we go beyond questioning older social systems to infiltrating them, building ourselves into them.”

Sasha Stiles

Claudia Larcher: I believe that video as a medium was new at that time and not yet occupied by men, like painting or sculpture. There was this window of opportunity for many female artists.

Claudia Hart: I am not sure, there have always been women painters, but they were written out of history. I’ve been working with 3d animation and VR since ‘96.  I developed a program at the School of the Art Institute of Chicago called Experimental 3D, and my young women students have been institutionalized and awarded. I actually have never had an institutional exhibit, neither group or solo, nor have gotten grants or any kind of award of status. So case in point.

Dagmar Schürrer assembles found footage, digitally generated objects and animations, text, drawing and sound to form intricate video-sound-montages, often extended by Augmented Reality, evocative of painting, collage or poetry.

Dagmar Schürrer: I have the feeling there is a tendency, when new tools or technologies become available, that female and non-binary artists are fast to integrate those in their own artistic practice, before the methodologies enter the mainstream. It may offer a certain freedom and field of experimentation, without the pressure of capitalist art markets, and therefore a progressive opportunity to negotiate and reflect the topics of underrepresented groups.

“I believe that video as a medium was new at that time and not yet occupied by men, like painting or sculpture. There was this window of opportunity for many female artists.”

Claudia Larcher

Tamiko Thiel: Yes, at the beginning of a new medium there is much more room for experimentation, when the market is not established yet and therefore artists can experiment without the pressure to think about the sales value of the work. Initially there is the problem of access to technology – during which women also usually have more difficulty. Then there is a short interval in which anyone can access the technology because it has become commercial enough to be widely available. This is the time in which most innovation occurs. Then when the art market picks up a medium, its values impact directly on the work that is made, as artists try to live from their work.

Chun Hua Catherine Dong: Using new media or incorporating technology in artwork has definitely changed the ways of how to make art. Video art offered artists the ability to create time-based works that could incorporate performance and documentation. The introduction of video art has provided a powerful tool for feminist artists to express their ideas related to gender and identity, and to create works that reflect their own experiences and perspectives.

“There is a female sensibility behind the lens. Even in subtle ways, this changes what the viewers see.”

Yuge Zhou

Yuge Zhou is a Chinese born, Chicago-based artist whose videos and installations address rootedness, isolation and longing within sites of shared dreams.


Yuge Zhou: Video art introduces the time element into social critique. In some way, video art has a huge landscape to mine and to reference with cinema and television and the internet videoscape. With a growing number of women behind the camera and in charge of the means of productions – what they shoot, how they shoot are opening up. There is a female sensibility behind the lens. Even in subtle ways, this changes what the viewers see. Nowadays, both men and women are going into the technological fields like editing and cinematography, and a lot of tools and venues are available to both make and show video art. But there’s still a long way to go in terms of equity both behind and in front of the camera.

Claudia Hart on Machiavelli, politics, and NFTs

New York-based artist Claudia Hart’s background in art and architectural history and publishing has defined an artistic practice developed since the late 1980s and focused on bridging the physical and digital worlds. An art critic and curator as well as an artist, her production is infused with literary and art historical references, using the words of male philosophers, poets, and painters such as Jean-Jacques Rousseau, Lord Byron, Lewis Carroll, Thomas Jefferson, Henry Ford, or Walter Gropius to apply a feminist approach to the representation of women in art and the influence of digital technologies in our patriarchal society.

An early work that she has come back to regularly, A Child’s Machiavelli combines many of Hart’s interests, from literature to analog and digital image making, performance, and a satirical view of society. 

Claudia Hart. LittleGuys, 1994.

A Child’s Machiavelli is a series that started in 1995 and has seen many different versions over a span of almost three decades. Hart was living in Berlin at the time the city was reinventing itself after the fall of the infamous wall. As the artist recalls, despite the spirit of newly regained freedom and the reunification of its people, the emerging art scene was fiercely competitive. She told a friend, sarcastically, that what was needed in that context was a revision of Niccolò Machiavelli’s The Prince (1532). The oft-quoted treatise on politics, known for its pragmatism and lack of morality, seemed particularly apt for a young society that was plunging deep and fast into capitalism. Hart’s version of The Prince, however, was not meant to be a guide for ambitious and reckless artists, but rather a fable about a time in which innocence would be lost to self-interest. She chose to create a primer to teach bad manners to children, aiming to spark a reflection on contemporary politics through the obvious contradiction between the childlike illustrations and the shockingly expedient advice.

Claudia Hart. A Child’s Machiavelli. Exhibition at bitforms (New York), 2020.

The initial version of A Child’s Machiavelli counted 31 small oil paintings, each one combining an illustration taken from a classic children’s book and the text that Hart had written, updating Machiavelli’s dictums in a more informal language. The paintings were exhibited in 1995 at the Neue Gesellschaft für Bildende Kunst in Berlin, accompanied by a small catalog produced by the Realismus Studio. From the beginning, the artist saw her Machiavelli as an imaginary book, with the paintings representing its pages, and quickly the project morphed into different formats, such as the first printed edition (Machiavelli für Kids. Hamburg: Edition Nautilus, 1995), or the hip-hop track Babyrap (1996), performed by Hart and produced in collaboration with the French band Assassin. The artist then imagined the next iteration of A Child’s Machiavelli as an animated series (intended to be aired in the popular MTV music video channel), which became her first 3D work, setting a turning point in her artistic production.

Hart’s version of The Prince is a fable about a time in which innocence would be lost to self-interest.

The series saw three more printed editions, one in French (Le Petit Machiavel illustré. Paris: Abbeville Press, 1998), and two in English. The first English version was published by Penguin Books in New York in 1998, and a decade later a second edition was published by Beatrice Books in a redesigned version. This latter edition, that came out in 2019, proved how relevant Machiavelli is to this day, and how aptly Hart’s satirical guide for infantile and selfish rulers reflects actual politics: in 2020, the results of  the United States presidential election were contested by Donald J. Trump, who refused to concede defeat and led his supporters to attack the US Capitol. The way in which Trump’s foolhardy self-interest and childish narcissism almost ended democracy seems right out of Machiavelli’s playbook and even more outlandish than Hart’s mordacious fairy tale.

Claudia Hart. A Child’s Machiavelli. New York: Beatrice Books, 2019

In 2021, as the NFT market boomed, Claudia Hart saw in this form of distribution and commercialization of digital art something akin to her experience with publishing books and magazines. The possibility of both widely distributing her artworks while retaining a sense of ownership (as is the case with printed books) appealed to her. So, the next version of A Child’s Machiavelli consists of 20 animated short films distributed as NFTs and presented in an exclusive artcast on Niio. On the occasion of this new phase in the Machiavelli project, I had a long conversation with the artist, in which we focused particularly on the latest iteration of the book as a series of NFTs.

Claudia Hart. DonDontThrowYourMoneyAround, 1994.

Continuing A Child’s Machiavelli as a series of NFTs seems a logical next step in the project, but what has been your experience with the NFT market so far?

When I first entered the NFT market, I was participating in auctions but I pulled out because they were taking what was intended to be a one-of-a-kind painting, a unique artwork, and then turning it into an edition. It seemed to me that this would hurt me. I always had a very ambivalent relationship with digital, but when NFTs came along, I realized that they are a hybrid of publishing, and digital, which is interesting to me. I’ve also had a very good experience with the community, it is very supportive. 

What is happening in the NFT space now that the crash happened, is that NFTs are being developed as a medium, not just as a register on the blockchain. If I take my earlier work, where for instance I do a movie that is 12 to 20 minutes long and it took me a year to make, and then I sell it as an NFT, I am giving the collector a guarantee of provenance and ownership. But the artwork is not “an NFT,” it’s a movie. As a medium, NFTs are serial, not sequential, because you can’t put things in order, like a baseball card is serial, but not sequential.

“NFTs are far from being anti-capitalist, as some people may want to describe them. They are pure neoliberalism.”

Claudia Hart

Since the original drawings are inspired by 1920s children’s books and the text was written in the 1990s, have you considered creating a new version using other references from children’s literature and updating the language to how kids talk today?

The illustrations I use in this series (the potter, the rabbit, Alice, and so forth), are all in the public domain. I have a collection of these illustrations from out-of-print books from the olden days, which I used to create the paintings and drawings for A Child’s Machiavelli. This is relevant in terms of copyright in relation to NFTs, because these are also about rights ownership. I think the issue of ownership, certified on the blockchain, coupled with distribution everywhere, is mainly the radical part of the production. The rights of the artwork usually remain with the artist, but lately several NFT projects have been offering the copyright of the image to the owner of the NFT, so some NFT collectors expect to have full rights over the artwork they bought. 

Claudia Hart. YoureNoGood, 1994.

Therefore, it can be said that NFTs are far from being anti-capitalist, as some people may want to describe them. They are pure neoliberalism. I believe that by selling NFTs I am not helping, but that is also part of why I want to make all my NFTs very dark and perverse, and about power. I have done another series about the Art of War, which has not been released yet. I also have handmade illustrations that I will turn ultimately into animations as well. Those have vocalizations, where I process the sound and I do interesting things with it. 

Claudia Hart. GivingThingsAway, 1994

The NFT market has been quite wild over the last two years, maybe as fiercely competitive as the art scene of the mid-1990s in Berlin. Do you see Machiavellian tactics in it?

The crypto winter cleared the ground of the pure, speculative designer ethos. It cleared the ground for artists, because now that there’s not so much money and attention we can focus on exploring NFTs as an artistic form. Some artists are bringing back generative art in new forms, and then there’s what I said about it being a serial but not sequential type of medium. Also, the NFT marketplaces are now looking for new blood, because those that were there in the first place are a bit contaminated right now. So they need a whole bunch of newbies like me, because they can sell us for cheaper. It’s the same thing in the art world: after a fiscal crash, the speculators like to bring in new “undiscovered artists,” because we’re cheaper.

Explore Claudia Hart’s work on Niio

Niio in 2022: the articles

Niio Editorial

As we reach the end of 2022, we look back at a very busy year, and forward to an even more intense 2023. In this series of posts, we have selected some of our favorite artcasts, artists, artworks, articles, and interviews. They outline an overview of what has happened in Niio over the last months and highlight the work of artists and galleries with whom we are proud to collaborate. However, there is much more than what fits in this page! We invite you to browse our app and discover our curated art program, as well as our editorial section.

Five articles from 2022

Niio is part of a wider ecosystem that includes the contemporary art world, the art market, and digital culture in general. In our Editorial section, we look at what is happening globally and offer our views and analyses, based on our professional knowledge and observations. We have visited and reviewed some key events in the international art world calendar, such as the Venice Biennale, and followed the latest developments in the NFT scene, as well as the growing influence of Artificial Intelligence programs in artistic research. We have also initiated two series of educational posts, titled Ask Me Anything and Quick Dive, seeking to offer our readers an introduction to the main concepts and terms in the digital art field and the contemporary art market.

We have chosen five articles among more than 60 posts enriching our Editorial section this year. Click on the titles to read each article.

The Role of Art in a Climate Emergency

On 13th October 2022, two climate activists from the environmental group Just Stop Oil, Phoebe Plummer and Anna Holland, threw two cans of tomato soup at Vincent Van Gogh’s painting Sunflowers (1888), on display at the National Gallery in London. The controversy sparked by this protest brings up the question: what is the role of art in a climate emergency?

The article analyzes the reasons behind the protest and the reaction of artist Joanie Lemercier, as well as the views of other artists addressing climate change through digital art.

We care more about representations of nature than about nature itself. We have made cities and virtual spaces our habitat, while using natural environments as sites of leisure, or even just as an image to be displayed on the computer’s desktop. 

Digital Art at the Venice Biennale

The 59th International Art Venice Biennale, curated by Cecilia Alemani, its satellite pavilions and shows marked a strong emphasis on the advancements of digital art as a rightful art world medium. This article explores the different digital art focused exhibitions displayed at the Venice Biennale Arsenale & Giardini, and satellite events.

Installation View, Sonia Boyce Feeling Her Way, British Pavilion.

This year marked a great leap for the new media arts, artists and practices as the 59th Venice Biennale can be seen as a celebration of the digital, setting the placement of the digital arts side by side with traditional respected mediums.

ISEA2022: the possible spaces of new media art

Drone show on the closing night of ISEA2022 Barcelona

The 27th International Symposium on Electronic Art took place in Barcelona from 9 to 16th June, bringing to the city a community of more than 750 experts in art, science and technology and hosting 140 presentations made by experts in the field, 45 institutional presentations, 40 talks given by artists, 23 screenings, 18 posters and demos, 16 round tables, 13 workshops, and 13 performances. The main organizer of the event was the Open University of Catalonia (UOC), in partnership with ISEA International, the Government of Catalonia and the main cultural and political institutions in the region. The article reviewed the three main exhibitions of digital art in the scene, alongside several shows taking place in commercial art galleries.

The exhibitions in Barcelona feature three different forms of presenting new media art: a setup similar to contemporary art biennials, a process-oriented, artist-in-residence environment, and a new media art festival exhibition.

Out of the grid, into your screen: display your NFTs anywhere

The NFT revolution has brought an unprecedented attention to digital art, which is now easier to collect than ever before: once you sync your wallet to the marketplace, you only need to browse, pick your favorite NFTs, and in two clicks you’re the proud owner of a rare gem that just dropped. It is so easy that many collectors have hundreds, if not thousands, of digital artworks in their wallet. The excitement of owning something beautiful and unique, paired with the immediacy of the transaction, can become addictive. As the collection grows, it fills row after row of an endless grid that you can see on any web browser. With a simple copy and paste, you can also share your collection with anyone and brag about your possessions, your taste, or your ability to seize the opportunity and get that coveted artwork that is now out of reach of most wallets. This article explores how you can preserve and display your NFTs using Niio Manage.

Just as most collectors have artworks in different sizes that fit certain spaces of their homes, it is possible to have a series of screens to display different kinds of artworks

Miles Aldridge: photography and a love for cinema

Miles Aldridge, “A Drop of Red #2”, 2021.

Miles Aldridge is a British photographer and artist who rose to prominence in the mid nineties with his remarkable and stylized photographs which reference film noir, art history, pop culture, and fashion photography. Miles Aldridge is the son of Alan Aldridge, a famous British art director, graphic designer, and illustrator, who is known for his work with notable figures such as John Lennon, Elton John, and the Rolling Stones. Alan Aldridge was the art director for Penguin books. His work is mainly characterized as a combination of psychedelia and eroticism. Miles thus grew up in an artistic environment even posing with his father for Lord Snowdon as a child.

Niio Art in collaboration with Fahey/Klein Gallery recently published an artcast featuring a selection of Miles Aldridge’s extensive oeuvre. This article is based on Miles Aldridge’s interview with Bret Easton Ellis for Fahey/Klein Gallery.

“I like the sense of eternity, when a figure seems to be permanently frozen. The power of an image is not to have a beginning, middle, and ending, but that it’s a complete universe. It’s like the figures are permanently there”

Miles Aldridge

Niio in 2022: the interviews

Niio Editorial

As we reach the end of 2022, we look back at a very busy year, and forward to an even more intense 2023. In this series of posts, we have selected some of our favorite artcasts, artists, artworks, articles, and interviews. They outline an overview of what has happened in Niio over the last months and highlight the work of artists and galleries with whom we are proud to collaborate. However, there is much more than what fits in this page! We invite you to browse our app and discover our curated art program, as well as our editorial section.

Five interviews from 2022

Interviews are an important part of our Editorial content, because we believe that artists, gallerists, and curators have important things to say, and we want their words to reach our readers. We are privileged to live in a time when it is possible to connect with people around the world and have a conversation with them, learn from their experience and get a first person account of their creative process. This year we have spoken to wonderful and generous art professionals who have spent time with us explaining their work and their views on digital art, sometimes at a distance, and other times visiting their studios. These conversations are certainly worth reading for anyone who wishes to understand how art is created nowadays.

We have chosen five interviews from almost 40 conversations published in our Editorial section this year. Click on the titles to read each article.

Photo: Joanna Holloway

Steve Sacks founded bitforms in New York in November 2001, at a time when digital art was getting attention among the contemporary art institutions in the USA as well as Europe. Major exhibitions held that same year, such as Bitstreams and Data Dynamics at the Whitney Museum of American Art in New York and 010101: Art in Technological Times at the San Francisco Museum of Modern Art were particularly inspirational for him.

Photo: Joanna Holloway

Over two decades, bitforms has achieved an influential position in the contemporary art market as a gallery devoted to digital art, participating in major art fairs and representing some of the most recognized artists in this field, such as Manfred Mohr, Rafael Lozano-Hemmer, Casey Reas, Quayola, Auriea Harvey, Refik Anadol, Gary Hill, Claudia Hart, Beryl Korot, Marina Zurkow, Daniel Canogar, Daniel Rozin, Siebren Versteeg and many others. On the occasion of the third series of Niio Commissions, which was curated by Sacks, we sat down with the gallerist to discuss his views on the development of the contemporary art market and the role that digital art is now playing in it.

“Niio gives my artists more exposure and it’s much easier for collectors to view and manage their artworks”

Steven Sacks

Marina Zurkow, artist

Marina Zurkow’s work explores the relationship between nature, culture, and society, focusing on what she describes as “wicked problems,” those issues that reveal our abusive interactions with the natural environment and our difficulty to understand it beyond our human-centric, capitalist-driven views of the world around us.

A transdisciplinary artist, she works with experts from different fields to create a wide range of artistic practices that includes video art, installations, and public participatory projects. Currently, she is working on the tensions between maritime ecology and the ocean’s primary human use as a capitalist Pangea.

Following the release of two new artworks commissioned by Niio, we spoke with the artist about her latest work and her commitment to raise environmental concerns through her art.

“There are many roles that artists occupy in terms of addressing environmental atrocities. I don’t feel like any one tactic is any better than any other. It’s all crucial.”

Marina Zurkow

Daniel Canogar, artist

The leading artist in the Spanish media art scene, Daniel Canogar‘s influential work spans almost four decades and a wide range of media from video art installations to generative software art. On the occasion of his solo artcast Liquid Data, our Senior Curator Pau Waelder interviewed him in his studio in Madrid.

“My work as a media artist is about trying to think of data, of sculpture, of the history of art, in a synchronous way where it all comes together.”

Daniel Canogar

Tamiko Thiel, artist

Tamiko Thiel is a pioneering visual artist exploring the interplay of place, space, the body and cultural identity in works encompassing an artificial intelligence (AI) supercomputer, objects, installations, digital prints in 2D and 3D, videos, interactive 3d virtual worlds (VR), augmented reality (AR) and artificial intelligence art.

We had a conversation with the artist on the occasion of the launch of her solo artcast Invisible Nature curated by DAM Projects, in which she discusses the evolution of technology over the last three decades, her early AR artworks and her commitment to create art that invites reflection.

“What is truly the value of an artist making work about a subject such as these is that the art work can be exhibited time and time again, in different places around the world.”

Tamiko Thiel

Patrick Tresset, artist

Patrick Tresset is an artist who explores a form of mediated creation in which his drawing style is transferred to a set of robotic drawing machines or applied to video footage to create artworks that are curiously algorithmic and spontaneous at the same time. He is also the co-founder of alterHEN, an eco-friendly NFT platform and artist community whose artists have participated in a previous artcast on Niio. Tresset has also presented his series Human Study in a solo artcast launched recently.

Our Senior Curator Pau Waelder interviewed him in his studio in Brussels on the occasion of his visit to the Art Brussels art fair. They discussed his work and the series that originated from an exhibition in Hong Kong that he had to remotely orchestrate during lockdown.

“So there is this weird thing with control, because in the beginning I have control, but then when the robots start, I don’t have any control. And that leads to an interesting form of spontaneity.”

Patrick Tresset

What is AI Art? A Conversation with ChatGPT

Pau Waelder

Image generated with Open AI’s DALL-E 2

ChatGPT is a machine learning model developed by OpenAI which was recently opened to the public as a research preview, allowing users to test it freely. Similarly to how DALL-E 2 draw widespread attention for its ability to create impressively realistic or stylized images based on text prompts, ChatGPT is now receiving similar responses, since it is capable of producing reasoned explanations and provide answers to follow-up questions, apparently grasping the context of what is being asked. As explained by OpenAI, the model was trained using supervised learning, based on conversations written by humans, in which a question and an answer were provided. Then a reward model was trained using several answers to the same question and having a human labeler rank them from best to worst. A reinforcement learning algorithm was used to optimize the model.  

ChatGPT is able to explain concepts and provide answers considering different aspects of an issue, often maintaining a neutral attitude that seeks to balance out opposing points of view. It usually concludes with a short paragraph that summarizes its previous statements. Seeking to test it, I asked a series of questions regarding art created with Artificial Intelligence programs. It seemed fitting to have an AI system explain AI art to humans. The result is the interview below.

Please note: ChatGPT provides long answers, sometimes using repetitive formulas. I have decided not to make any edits to the text in order to remain true to its outputs, and so to avoid forcing readers to scroll through a very long article I’ve included an index below. Feel free to click on the questions you find most interesting. They are grouped into themes to make browsing easier.

Definitions and history

Creativity

Production

Environmental impact

Aesthetics

Market

Longevity

What is AI art?

AI art is artwork created by artificial intelligence. This can take a variety of forms, but typically involves using algorithms and machine learning techniques to generate visual artwork, music, or other forms of creative expression. AI art often explores the intersection of art and technology, and can involve the use of neural networks and other forms of AI to create unique and unpredictable artistic experiences. Some AI art is created with the goal of imitating human creativity, while other AI art is intended to push the boundaries of what is possible with technology and create entirely new forms of art.

AI art is a type of art that is created using artificial intelligence algorithms and technology. AI art can take many forms, including digital art, paintings, sculptures, and other types of visual art. The algorithms and technology used in AI art can be trained to create original works of art or can be used to enhance or manipulate existing artwork. AI art can be created by both human artists and AI algorithms working together, or it can be created entirely by AI.

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Is AI art a subset of algorithmic art?

AI art can be considered a subset of algorithmic art. Algorithmic art is a term that refers to art that is created using algorithms and other computational processes. AI art is a specific type of algorithmic art that is created using AI technology and algorithms.

In this sense, AI art can be considered a subset of algorithmic art, because it is a specific type of art that is created using algorithms and computational processes. However, it is worth noting that not all algorithmic art is AI art, and there are many other types of algorithmic art that do not use AI technology.

Overall, while AI art is a type of algorithmic art, it is not the only type of algorithmic art, and there are many other types of algorithmic art that do not use AI technology.

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Not all algorithmic art is AI art, and there are many other types of algorithmic art that do not use AI technology.

What role does AI art play in the history of contemporary art?

AI art is a relatively new development in the history of modern and contemporary art, and its role is still evolving. However, AI art has already had a significant impact on the art world, and it has introduced new ideas and possibilities for artists and art enthusiasts.

One of the key ways in which AI art has impacted the art world is by challenging traditional notions of what constitutes art and who can create it. Because AI algorithms and technology can be used to create art without the need for human intervention, AI art has called into question the idea that art must be created by human artists in order to be considered “real” art.

Additionally, AI art has also introduced new possibilities for collaboration between human artists and AI technology. Many artists are now experimenting with using AI algorithms and technology as part of their creative process, and this has led to the emergence of new styles and genres of art that are not possible without the use of AI technology.

Overall, while AI art is a relatively new development in the history of modern and contemporary art, it has already had a significant impact on the art world, and it is likely to continue to play an important role in the future.

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How did AI art come about?

AI art has its roots in the field of artificial intelligence (AI), which is the study of how to create computer systems that can simulate human intelligence. The development of AI technology has been ongoing for several decades, and it has led to the creation of many different AI algorithms and technologies that can be used to solve complex problems and to automate various tasks.

One of the areas in which AI technology has been applied is in the creation of art. By training AI algorithms on large datasets of artwork, it is possible to create AI programs that can generate novel and original artworks based on the information they have learned.

The first known examples of AI art date back to the 1960s, when researchers began to experiment with using AI algorithms to create visual art. Since then, the field of AI art has continued to evolve and grow, and there are now many different AI algorithms and technologies that can be used to create a wide range of different types of art.

Overall, AI art has come about as a result of the development of AI technology and algorithms, and the application of these technologies to the field of art.

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Which was the first AI artwork ever created?

The first known examples of AI art date back to the 1960s, when researchers began to experiment with using AI algorithms to create visual art. One of the first known AI artworks was created by the computer scientist Harold Cohen in the early 1960s. Cohen developed a program called AARON, which was able to create abstract drawings based on a set of rules and instructions that Cohen provided.

Another early example of AI art was created by the artist Harold Cohen in the early 1970s. Cohen developed a program called AARON, which was able to create abstract drawings based on a set of rules and instructions that Cohen provided.

Overall, while the exact details of the first AI artwork are not well-documented, it is likely that one of the first AI artworks was created by Harold Cohen in the early 1960s.

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Can you name the main artists who have created art with AI?

There are many artists who have created art using AI technology and algorithms. Some of the most notable and well-known artists who have created AI art include:

  • Mario Klingemann: Klingemann is a German artist who creates AI art using a variety of different algorithms and technologies. His work often explores the intersection of art and technology, and he has exhibited his AI art in galleries and museums around the world.
  • Trevor Paglen: Paglen is an American artist who creates AI art that explores the relationship between technology, surveillance, and power. His AI artworks often take the form of large-scale installations and projections, and he has exhibited his work in galleries and museums around the world.
  • Anna Ridler: Ridler is a British artist who creates AI art using deep learning algorithms and machine learning techniques. Her AI art often explores themes of identity and the human condition, and she has exhibited her work in galleries and museums around the world.
  • Sougwen Chung: Chung is a Canadian artist who creates AI art that explores the relationship between humans and machines. Her work often involves collaborative projects between human artists and AI algorithms, and she has exhibited her AI art in galleries and museums around the world.

Overall, there are many artists who have created AI art, and their work covers a wide range of styles, techniques, and themes. These artists are at the forefront of exploring the potential of AI technology and algorithms to create art, and their work has been exhibited and recognized in galleries and museums around the world.

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Who creates the art, the artist or the machine?

Both the artist and the machine can create AI art. Some AI art is created entirely by AI algorithms, without any human input. In these cases, the algorithms themselves are the “artists” creating the artwork. Other AI art is created by human artists using AI technology and algorithms to assist them in the creative process. In these cases, the human artist is the creator of the artwork, but the AI technology and algorithms are an important part of the creative process. In some cases, AI art may be created by a collaboration between a human artist and AI algorithms, with both contributing to the final artwork.

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How can an algorithm be an artist? Isn’t creativity exclusively human?

The question of whether creativity is exclusively human is a complex one, and there is no definitive answer. Some people believe that creativity is a uniquely human trait, while others believe that it is possible for machines and algorithms to be creative.

One way to approach this question is to consider what we mean by creativity. Creativity can be defined as the ability to produce something new and original. While this definition may seem to exclude machines and algorithms, it is important to remember that these tools can be used in ways that were not possible before, and that they can help us to explore new ideas and create new and original works of art.

The algorithms themselves can be seen as creative agents, capable of producing new and original works of art.

In the case of AI art, the algorithms and technology used can be trained on vast amounts of data and can be designed to explore a wide range of possibilities. This can allow the algorithms to generate artwork that is novel and original, even if it is created entirely by a machine. In this sense, the algorithms themselves can be seen as creative agents, capable of producing new and original works of art.

Ultimately, whether we consider AI art to be the work of a human artist, the machine, or a collaboration between the two, will depend on our individual perspectives and values. What is important is that AI art allows us to explore new possibilities and to create art in ways that were not previously possible.

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Why would an AI program create art for humans? Wouldn’t it be more interesting to create art that only another AI can understand?

AI programs can create art for humans or for other AI programs, depending on the specific goals and objectives of the program and the designers who created it. In some cases, an AI program may be designed to create art that only another AI program can understand, for example, as part of a research project or to explore the capabilities of AI algorithms.

However, in many cases, AI programs are designed to create art that can be understood and appreciated by humans. This is because art is often a way for people to express themselves and to communicate with others, and creating art that can be understood and appreciated by humans is an important part of this process.

Additionally, creating art that can be understood and appreciated by humans can also help to demonstrate the capabilities of AI technology and algorithms. By creating art that people can understand and appreciate, AI programs can show the potential of AI technology to generate novel and interesting ideas, and to explore new creative possibilities.

Overall, whether an AI program creates art for humans or for other AI programs will depend on the specific goals and objectives of the program and the designers who created it.

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Who should sign an artwork created with AI?

The question of who should sign an artwork created with AI is a complex one, and there is no definitive answer. The specific approach that an artist takes when signing AI-generated art will depend on the individual artist and their goals and values.

In some cases, an artist may choose to sign an artwork created with AI themselves, as the primary creator of the artwork. This could be because the artist believes that they were the primary driving force behind the creation of the artwork, and that the AI program was only a tool that was used to assist in the creative process.

On the other hand, some artists may choose to sign the artwork with the name of the AI program that was used to create the art. This could be seen as a way of recognizing the contributions of the AI program to the creation of the artwork, and it could be an interesting and unique way to explore the relationship between human artists and AI technology.

In some cases, an artist may choose to sign an artwork created with AI using both their own name and the name of the AI program. This could be seen as a way of recognizing the contributions of both the human artist and the AI program to the creation of the artwork.

Ultimately, the approach that an artist takes when signing AI-generated art will depend on their individual goals and values. Some artists may choose to sign the artwork themselves, while others may choose to sign it with the name of the AI program, and still others may choose a combination of both. What is important is that the artist is transparent about their approach and that they are fair and reasonable in their dealings with the AI program and any other parties involved.

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If AI programs are written by humans, isn’t AI art entirely created by humans, in the end?

It is true that AI programs are written by humans, and that the technology and algorithms used in AI art are created by humans. However, it is important to remember that AI programs are not just simple, pre-programmed tools that are used by human artists. Instead, AI programs are capable of learning from data and of making decisions and predictions based on that learning.

In the case of AI art, this means that the AI algorithms and technology are not just blindly executing instructions that have been written by humans. Instead, the AI algorithms are able to generate novel and original artwork based on the information they have learned from the training data.

This means that while AI art is not created entirely by humans, it is also not created entirely by AI algorithms. Instead, it is the result of a collaboration between human creators and AI technology, with both playing important roles in the creation of the final artwork.

Overall, while AI art is not created entirely by humans, it is also not created entirely by AI algorithms. Instead, it is the result of a collaboration between human creators and AI technology.

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Which tools are there to create AI art?

There are many different tools and technologies that can be used to create AI art. Some of the most commonly used tools and technologies for creating AI art include:

  • Machine learning algorithms, such as neural networks, that can be trained on data to generate art
  • Generative adversarial networks (GANs), which can be used to create realistic images and other types of art
  • Deep learning algorithms, which can be used to create detailed and complex artworks
  • Computer vision algorithms, which can be used to analyze and interpret visual information
  • Natural language processing algorithms, which can be used to generate text-based art, such as poetry or fiction

These are just a few examples of the tools and technologies that can be used to create AI art, and there are many other options available. The specific tools and technologies used to create AI art will depend on the individual artist and their goals and objectives.

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Which are the most commonly used AI programs?

There are many different AI programs and technologies that are commonly used for creating AI art. Some of the most commonly used AI programs include:

  • GANs (Generative Adversarial Networks): GANs are a type of AI algorithm that is often used for creating AI art. GANs consist of two neural networks – a generator network and a discriminator network – that work together to generate novel and original artworks based on a dataset of existing artwork.
  • Style transfer algorithms: Style transfer algorithms are a type of AI algorithm that is used to apply the style of one image to another image. This can be used to create AI art by applying the style of a famous painting or artist to a new image, creating a novel and original artwork that combines the style of the original with the content of the new image.
  • Evolutionary algorithms: Evolutionary algorithms are a type of AI algorithm that is inspired by the principles of natural selection and evolution. These algorithms can be used to create AI art by starting with a population of random artworks, and then using a set of rules and criteria to select the “fittest” artworks from each generation, allowing the art to evolve over time.
  • Deep learning algorithms: Deep learning algorithms are a type of AI algorithm that is based on the structure and function of the human brain. These algorithms can be used to create AI art by training the algorithm on a dataset of existing artworks, and then using the trained algorithm to generate novel and original art.

Overall, there are many different AI programs and technologies that are commonly used for creating AI art, and the specific program that is used will depend on the goals and objectives of the artist.

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Which programming languages are used to create AI art?

There are many different programming languages that can be used to create AI art. Some of the most commonly used programming languages for creating AI art include:

  • Python: Python is a popular and versatile programming language that is often used for AI and machine learning applications. It has a large and active community of developers and users, and it offers a wide range of libraries and tools for working with AI algorithms and technology.
  • R: R is a programming language that is commonly used for statistical computing and data analysis. It has a strong focus on data visualization and is often used for creating AI art that involves the generation of complex images and other visual elements.
  • JavaScript: JavaScript is a popular programming language that is often used for web development. It is a versatile language that can be used for a wide range of different AI and machine learning applications, including the creation of AI art.
  • Java: Java is a popular and widely used programming language that is often used for developing large-scale, enterprise-level applications. It is a versatile language that can be used for creating AI art, and it has a large and active community of developers and users.

These are just a few examples of the programming languages that can be used to create AI art, and there are many other options available. The specific programming language that is used to create AI art will depend on the individual artist and their goals and objectives.

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Does an artist need to code to create this type of art?

An artist does not necessarily need to know how to code in order to create AI art. While knowledge of coding can be helpful for creating AI art, it is not a requirement.

There are many different tools and technologies available that can be used to create AI art without needing to know how to code. For example, there are several user-friendly AI platforms and tools that can be used to create AI art without needing to know how to code. These tools often provide a simple, intuitive interface that allows users to create AI art by dragging and dropping different elements and using pre-defined algorithms and settings.

There are many artists who collaborate with coders and other technical experts to create AI art.

Additionally, there are many artists who collaborate with coders and other technical experts to create AI art. In these cases, the artist can focus on the creative aspects of the art, while the coders and technical experts handle the technical aspects of creating the AI art.

Overall, while knowledge of coding can be helpful for creating AI art, it is not a requirement, and there are many different tools and technologies available that can be used to create AI art without needing to know how to code.

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Do you need a very powerful computer?

The specific hardware requirements for creating AI art will depend on the specific AI algorithms and technologies that are being used, as well as the complexity and scale of the artworks being created. In general, however, creating AI art often requires a significant amount of computing power, and it is not something that can be done on a standard desktop or laptop computer.

In many cases, creating AI art will require the use of a high-performance computer with a powerful processor and a large amount of RAM. This type of computer will be able to handle the complex computations and data processing that is required for creating AI art, and it will be able to generate high-quality artworks in a reasonable amount of time.

Additionally, some AI algorithms and technologies may require the use of specialized hardware, such as graphics processing units (GPUs), in order to run efficiently and to generate high-quality artworks. In these cases, a computer with one or more powerful GPUs will be required in order to create AI art.

Overall, while the specific hardware requirements for creating AI art will vary depending on the algorithms and technologies being used, it is generally a resource-intensive task that requires a powerful computer with a large amount of computing power.

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Does this mean, then, that only a handful of artists can create AI art?

The ability to create AI art is not limited to a small group of artists. While creating AI art does require a certain level of technical expertise and access to the necessary tools and technologies, these are not necessarily difficult or expensive to obtain.

There are many different tools and technologies available that can be used to create AI art, and many of these are freely available or can be purchased at a low cost. Additionally, there are many online resources and tutorials that can help artists to learn the technical skills and knowledge that are needed to create AI art.

Anyone who is interested in creating AI art can learn the necessary skills and obtain the necessary tools and technologies

As a result, while creating AI art does require some technical expertise and access to the necessary tools and technologies, it is not something that is limited to a small group of artists. Anyone who is interested in creating AI art can learn the necessary skills and obtain the necessary tools and technologies, and there are many different resources available to help them do so.

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Will AI make artists lazy?

The use of AI technology in the creation of art will not necessarily make artists lazy. In fact, AI technology can be a powerful tool that can assist artists in the creative process and help them to explore new ideas and possibilities.

However, it is important to remember that AI technology is just a tool, and it cannot replace the creativity and vision of human artists. While AI algorithms and technology can be used to generate suggestions or ideas for artwork, it is ultimately up to the human artist to decide which ideas to pursue and how to incorporate them into their work.

Additionally, the use of AI technology in the creation of art can also help to inspire and challenge artists to think in new ways and to push the boundaries of what is possible. In this way, the use of AI technology can actually encourage artists to be more creative and innovative, rather than making them lazy.

Overall, while the use of AI technology in the creation of art can be a powerful tool, it will not necessarily make artists lazy. Instead, it can assist artists in the creative process and help them to explore new ideas and possibilities.

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Can it lead to an overproduction of art?

The use of AI programs in the creation of art could potentially lead to an overproduction of art. Because AI algorithms and technology can be used to generate art quickly and efficiently, it is possible that the use of AI could result in a large number of artworks being produced in a short period of time.

However, it is important to remember that the use of AI in the creation of art is not a new development, and it has been happening for several years. As a result, the art market has already had time to adjust to the use of AI technology, and the potential for overproduction of art is not as great as it may seem.

Additionally, it is worth considering that the quality and value of AI-generated art will vary, and not all AI-generated art will be of equal quality or worth. This means that while there may be a large number of AI-generated artworks produced, not all of them will be considered valuable or worth collecting.

Overall, while the use of AI programs in the creation of art could potentially lead to an overproduction of art, the potential for overproduction is not as great as it may seem, and the quality and value of AI-generated art will vary.

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What is the environmental impact of all of this?

The environmental impact of creating AI art will depend on a variety of factors, including the specific tools and technologies that are being used, the amount of computing power that is required, and the conditions under which the art is created.

In general, however, creating AI art can be a resource-intensive process that requires a significant amount of computing power. This can have an impact on the environment, both in terms of the energy that is consumed and the potential for electronic waste.

Additionally, some AI algorithms and technologies may require the use of specialized hardware, such as graphics processing units (GPUs), which can be expensive to purchase and difficult to dispose of in an environmentally-friendly manner.

Overall, the environmental impact of creating AI art will depend on the specific tools and technologies that are being used, and it is important for artists to consider this impact when creating AI art. There are many different ways to reduce the environmental impact of creating AI art, such as using energy-efficient hardware and recycling or repurposing old or obsolete technology.

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And if in the future many more artists can use AI programs and these are resource-intensive, does this mean that AI art can be bad for the planet?

If the use of AI programs for creating art becomes more widespread in the future, it is possible that it could have a negative impact on the environment. As more and more artists use AI algorithms and technology to create art, the demand for computing power and specialized hardware will increase, and this could lead to an increase in energy consumption and electronic waste.

However, it is important to note that the potential negative impact of creating AI art on the environment is not unique to AI art, and it is something that is also a concern for other forms of art making that are resource-intensive. Additionally, it is also possible that advancements in AI technology and algorithms could lead to more efficient and environmentally-friendly ways of creating AI art, which could help to mitigate the potential negative impact on the environment.

Overall, while the use of AI programs for creating art could potentially have a negative impact on the environment, this is not unique to AI art, and it is something that can be addressed through the use of efficient and environmentally-friendly technology and practices.

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Do people really like AI art, or are they in it just for the novelty?

It is difficult to say whether people truly like AI art, or if they are simply interested in its novelty. There are certainly many people who are intrigued by the idea of AI art, and they may be drawn to these artworks because they are something new and different.

However, there are also many people who genuinely appreciate the aesthetic qualities of AI art, and who enjoy the unique perspective and ideas that these artworks can offer. Some people may find AI art to be thought-provoking and engaging, and they may enjoy the challenge of trying to understand and interpret these artworks.

Overall, it is likely that people’s reactions to AI art will vary, and there will be some people who are interested in it simply because it is novel, while others will genuinely appreciate and enjoy the art itself.

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Why do most AI generated artworks produce nightmarish images?

Most AI-generated artworks do not produce nightmarish images. In fact, many AI-generated artworks are quite beautiful and interesting. However, it is true that some AI-generated artworks can produce images that some people might find disturbing or unsettling.

There are a few reasons why this may be the case. One reason is that AI algorithms are designed to explore a wide range of possibilities, and this can sometimes result in the generation of images that are unusual or unexpected. Another reason is that the training data used to teach the AI algorithm may contain images that some people find disturbing, and this can influence the types of images the algorithm generates.

It is also worth noting that what one person finds disturbing or nightmarish may not be the same for another person. What is considered “nightmarish” is a matter of personal opinion, and different people may have different reactions to the same image.

Overall, while some AI-generated artworks may produce images that some people find disturbing, this is not the case for all AI-generated art, and many AI-generated artworks are beautiful and interesting.

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Why does GAN generated art look like bad painting?

Not all GAN-generated art looks like bad painting. GANs, or Generative Adversarial Networks, are a type of AI algorithm that can be used to generate art, and the specific appearance of the art generated by a GAN will depend on the training data and other factors.

It is true that some GAN-generated art may appear to be low-quality or “bad” painting. This can happen for a few reasons. One reason is that the training data used to teach the GAN may not be of high quality, which can result in the GAN generating art that is less detailed or less realistic than it could be. Another reason is that the GAN may not be trained for a long enough time, or it may not be trained on a large enough dataset, which can also result in lower-quality art.

It is also worth noting that what one person considers to be “bad” painting may not be the same for another person. Beauty and quality are subjective, and different people may have different opinions about the same artwork.

Overall, while some GAN-generated art may appear to be low-quality or “bad” painting, this is not the case for all GAN-generated art, and the specific appearance of GAN-generated art will depend on a variety of factors.

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Should we reconsider our notions of art when exploring art made with AI?

The use of AI technology and algorithms to create art can certainly challenge our traditional notions of art and the creative process. Because AI algorithms and technology can be used to create art without the need for human intervention, AI art calls into question the idea that art must be created by human artists in order to be considered “real” art.

Additionally, AI art can also challenge our ideas about what makes art valuable and interesting. Because AI algorithms are able to generate artworks that are highly detailed and complex, they can create art that is aesthetically pleasing and engaging. This can challenge the idea that art must be created by human artists in order to have value or meaning.

Overall, exploring AI art can certainly lead us to reconsider our notions of art and the creative process. By challenging our traditional ideas about what constitutes art and what makes art valuable, AI art can help us to see art in new and interesting ways.

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Is AI art a good investment?

The potential for AI art to be a good investment will depend on a variety of factors, including the specific artworks being considered, the reputation and track record of the artist, and the overall state of the art market.

In general, however, AI art is still a relatively new and untested area of the art market, and there is a lot of uncertainty around the value and potential appreciation of AI artworks. Many buyers and collectors may be hesitant to invest in AI art due to its novelty and the lack of a track record for these types of artworks.

Additionally, the market for AI art is still relatively small, and there may not be a large number of buyers and collectors who are interested in these artworks. This could limit the potential for AI art to appreciate in value over time, and it could make it difficult for investors to find buyers for their AI artworks.

Overall, while there may be some potential for AI art to be a good investment, there are also many factors that could limit its value and potential appreciation. It is important for investors to carefully consider these factors before deciding to invest in AI art.

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When selling art created with AI, should the artist split their benefits with the AI program?

Whether or not an artist should split their benefits with an AI program when selling art created with AI will depend on the specific circumstances and the agreement between the artist and the AI program. In some cases, the artist and the AI program may have agreed to share the benefits from the sale of the art, in which case the artist would need to split their benefits with the AI program.

However, in other cases, the artist and the AI program may not have agreed to share the benefits from the sale of the art. In these cases, the artist would not be obligated to split their benefits with the AI program, and they would be entitled to keep all of the proceeds from the sale of the art.

Ultimately, whether or not an artist should split their benefits with an AI program when selling art created with AI will depend on the specific circumstances and the agreement between the artist and the AI program. It is always a good idea for the artist and the AI program to carefully consider and agree on these issues before starting to create art together.

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Will AI-generated art be preserved in the same way as paintings and sculptures? Will it last for centuries?

It is not clear whether AI-generated art will be preserved in the same way as paintings and sculptures. The preservation of art is a complex process that involves a variety of factors, including the materials used to create the art, the conditions in which the art is stored, and the care and attention given to the art over time.

In the case of AI-generated art, the specific approach to preservation will depend on the materials and technology used to create the art. For example, some AI-generated art may be created using digital media, such as video or audio, which may be more susceptible to degradation or loss over time. In these cases, the art may require special preservation techniques in order to ensure that it is preserved for future generations.

On the other hand, some AI-generated art may be created using physical materials, such as paint or clay, which may be more durable and easier to preserve over time. In these cases, the art may be more likely to last for centuries, just like traditional paintings and sculptures.

Overall, the preservation of AI-generated art will depend on the materials and technology used to create the art, as well as the care and attention given to the art over time. It is not clear whether AI-generated art will be preserved in the same way as traditional paintings and sculptures, and it will ultimately depend on the specific artworks and the circumstances in which they are created.

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Will it replace other forms of art making?

It is unlikely that AI-generated art will replace other forms of art making. While AI technology and algorithms can be used to create interesting and novel artworks, they are not a replacement for the creativity and vision of human artists.

Additionally, there are many different forms of art making, and the use of AI technology and algorithms is just one of many different approaches that artists can take. As a result, it is unlikely that AI-generated art will replace other forms of art making, and it will likely continue to exist alongside other forms of art making.

Overall, while AI technology and algorithms can be used to create interesting and novel artworks, it is unlikely that AI-generated art will replace other forms of art making. Instead, it is likely that AI-generated art will continue to exist alongside other forms of art making, as one of many different approaches that artists can take.

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Do you think that AI art will get better with time?

It is likely that AI art will get better with time, as AI technology and algorithms continue to advance and improve. As AI algorithms become more sophisticated and are able to learn from larger and more diverse datasets, they will be able to generate more detailed and realistic artwork.

Additionally, as more and more artists begin to experiment with AI technology and algorithms in their creative process, they will develop new techniques and approaches that can help to improve the quality of AI-generated art. This could lead to the emergence of new styles and genres of AI art, and it could help to push the boundaries of what is possible with AI technology.

Overall, it is likely that AI art will continue to improve and evolve over time, as AI technology and algorithms advance and as more artists begin to experiment with AI in their creative process.

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Over its history, AI technology has frequently promised more than it could deliver. Is this the case with AI art right now?

AI technology has indeed often promised more than it could deliver in the past. However, this is not necessarily the case with AI art. While there are limitations to what AI technology and algorithms can currently do in terms of creating art, there are also many interesting and impressive examples of AI art that demonstrate the potential of this technology.

One of the key limitations of AI art is that it is currently unable to create art that is truly original and creative in the same way that human artists can. AI algorithms and technology are still limited in their ability to understand and generate novel ideas, and most AI-generated art is based on existing data and patterns.

However, despite this limitation, there are many examples of AI art that are impressive and thought-provoking. Some AI algorithms and technologies are able to create art that is highly detailed and complex, and there are many interesting and novel ways in which AI technology can be used to create art.

Overall, while there are limitations to what AI technology and algorithms can currently do in terms of creating art, there are also many interesting and impressive examples of AI art that demonstrate the potential of this technology.

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Julian Brangold: the computer error as a great revealer

Pau Waelder

Julian Brangold (Buenos Aires, 1986) is one of the leading names in the growing digital art community in Argentina. Through painting, computer programming, 3D modeling, video installations, collage, and a myriad of digital mediums, he addresses how technologies such as artificial intelligence and data processing are shaping our culture and memory, as well as our notion of self. An active participant in the cryptoart scene and NFT market in Argentina he has been exploring art on the blockchain since 2020 and is currently the Director of Programming at  Museum of Crypto Art, a web3 native cultural institution.

Coinciding with the launch of his solo artcast Observation Machines, which brings together a selection of four artworks from a recent series exploring classical sculpture and computer glitches, we sat down to discuss his work and views on the digital art scene. 

Julian Brangold, Observation Machine (Bifurcation), 2022

Every artist studying Fine Arts is confronted with classical sculpture as a model and a source of inspiration, to the point that this particular period in the history of sculpture has become intrinsically associated with the concept of Fine Arts and academia. Is it correct to see in your work a reaction to this?

I see the aesthetic territory of Greco-roman classical statues as a marker for how contemporary imaginaries are constructed today. Our cultural identities are shaped by this legacy, and my interest resides in a sort of ontological anchor to this node, and how it connects with the now, how it has an impact on our collective cultural memory. More specifically, I am fascinated by how information storage technologies today shape our relationship to that legacy that exists in the form of data, and how it makes us connect to that information so differently from how we could in the past. 

“My approach is mediated by error aesthetics, the computing error as a sort of visualizer of the hidden side of technology, of a great revealer of what commercial technology tries to hide.”

My bond to this imagery began when I came across an overwhelmingly enormous Russian database that stored hundreds of thousands of photographs of ancient Greco-roman culture (art, architecture, ornaments, technical objects). I wanted to explore how appropriating this complete sea of information as a subject matter would look like. The first exploration came from creating a data scraper that stole all the images of sculptures from the website and then grabbing small bits from that huge span of data and developing an intimate relationship with just one cutout to create something very human, very handcrafted and detailed. In this case a drawing, or a series of drawings. In the process, I also explored how technological tools would facilitate a sort of mishmash of the aesthetic “trigger” of these classical imaginaries (we know immediately what we are seeing when we come across these images) with modern computer aesthetics. 

Physical mixed media artworks such as the Anonymous Elements of Cultural Memory (2019) series already show an interest in classical sculpture, a form or rendering (as a drawing) and duplication. These elements are clearly present in your digital artworks, what does working with 3D rendering bring to your original intentions in these series?

This is a very interesting question because for years I worked with flat images, as you mention, in drawings, and then translated them to physical large-scale collages where the process of printing and then hand-pasting the different parts of the composition was part of the work itself. The jump to 3D was in the same line, a large database of 3D scanned classical sculptures (in this case one that is meant for people to be able to print out their own versions of this classic statuary), but I became very enticed with the idea of manipulating these object in 3D space because the visual possibilities expanded enormously. My approach is mediated a lot by error aesthetics, the computing error as a sort of visualizer of the hidden side of technology, of a great revealer of what commercial technology tries to hide. So error was a big part of the transition from 2D to 3D, in the sense that the manipulations were about destroying these 3D models, breaking them, bending them, and then seeing what happens when I tried to put them back together. 3D models have a lot more potential for destruction, at least in my mind, because there is simply more data to work with, more possible iterations of the same object when, for example, you can rotate 360 degrees. 

Julian Brangold. Observation Machines. A Song of Rubble, 2022 (detail).

Your digital drawings bring to a tangible medium (paper) a single fixed composition that stems from your exploration of 3D models. How is the process that goes from the 3D model to the drawing? Do you build the composition “manually” (intervening in every step) or do you let the software decide on certain aspects of it?

I love to use randomness in my work. I am very fond of serendipitous findings in the process of building an image, especially when working with computers, because this error aesthetic shines through. I use a lot of procedural tools in 3D to create the destruction and decomposition of these 3D models, and the outcomes are usually very surprising and accidental. The first explorations based on photographs from 2019 and 2020 were digital but hand drawn, because I was looking to convey a more intimate relationship with the material. Even the return to the physical outcomes (the printing and then collaging these drawings on a canvas) was also related to that same intention. The later 2021 and most recent drawings are created with 3D shading tools that imitate a flat style, a technique called “Toon Shading”, mixed with a tool in Blender called “Freestyle”. I find it funny to go back to 2D using 3D tools, it’s like the flat, drawing aesthetic is somehow calling me. 

Julian Brangold, Fade, 2022.

In your video works there is often an atmosphere of decay and decomposition, the latter being also present in Observation Machine, albeit as something fluid and reversible. Is this a comment on our society, or rather on the ephemeral nature of 3D renderings, despite appearing “real” and “solid” to the eye?

It is definitely more related to the ephemerality of 3D objects. It has to do with this notion of “showing what is behind”’ the tools we are using, of using technology to reveal more than what we try to hide. I use industrial and commercial tools that always invite us to orbit closer to streamlined aesthetics that tend to deny the fact that they are being used, to “cheat” the eye into realism, or hide the process happening behind. This is a constant in all artistic disciplines. Film montage for example works very hard to hide itself, to give a feeling that you are “not watching a film”. I think (and this is not a very new notion) that there is a form of subversion in using the tool in ways it is not intended to be used, and thus the outcome is not about cheating the eye, but more about revealing what hides underneath. This is where error, destruction, decay, and “untidiness” come to play.

Julian Brangold, Observation Machine (Bifurcation), 2022

In the Observation Machine series, we see several classical sculptures that are used as raw material for digital manipulation. Which sculptures did you use for these artworks? Are these 3D scans that you made yourself, or that you took from an online library? If so, which one? Is the iconography or original placement of the sculptures relevant to you, or have you chosen them mainly for their aesthetic appeal? 

The 3D scans come from an open-source library called “Scan The World”, as I mentioned before, meant for people to be able to print out their own versions of classical sculptures. The process of selecting which sculptures I use for each work varies from series to series. In this case, I wanted to explore different possibilities of the 3D tool I’m using (Blender), and ended up choosing the sculptures using very visual parameters (scale, shape, amount of information). Sometimes I like to empty the sculptures of their cultural meaning and just look at them as pure subject matter, almost like an abstract object, particularly to see what happens if I do that, what happens to the archival baggage. It is kind of paradoxical, but I like that it’s all intertwined in the same process.

A common trait of the artworks included in this artcast is that, unlike previous works, they play shadows and contrast to appear flat, going back and forth between what could be seen as a digital painting and a 3D object floating in a virtual space. Color also plays an important role in creating this perceptual effect. Can you elaborate on these aspects of the artworks? 

“Observation Machines” is a series of time-based works that present an emulation of a machine learning process being operated on these sculptures. The movement and sound are inspired by a machine’s logic of movement. It is an imagination exercise: what would it look like if a machine were trying to study this object? In the works included in this artcast (a subset of this series), I wanted to explore how when using color alone within the 3D software the image would transition from two-dimensional to three-dimensional. The only thing changing in these pieces besides the sculpture is the color of the background, which makes the shadows and the textures react differently and thus reveals the depth of the object being observed.  

Julian Brangold, Observation Machine (Iteration), 2022

You have come to prominence in Argentina as a leading figure in the contemporary art scene linked to NFTs. Can you tell us how this scene is evolving and how do you participate in it? What have NFTs brought to digital artists in Argentina, and is it different from other art scenes, as far as you can tell?

I have a background in the traditional art world, where I spent almost 12 years, so for me entering the crypto art world had a very strong influence on how I see my practice and my career. Argentina hosts one of the largest, more organized communities of crypto artists in the world, called Cryptoarg. I was part of the conception of this community from the start, and the relationship with other artists that came from very diverse backgrounds in art and the creative industries, intertwined with a novel art world that had very new dynamics and potentials, was a very impactful experience for me. Argentina already has a very close relationship with crypto technologies, being one of the “capitals” for Ethereum development, for example. I think we are very prone to adopting alternative means for the distribution of labor, information, and capital management, mostly because of our very precarious economic conditions. 

“The crypto art scene is very different from the traditional art scene. The tools for the experimentation, collaboration, and distribution of art make it a very fertile landscape for exploration and experimentation.”

The crypto art scene is very different from the traditional art scene. The tools for the experimentation, collaboration, and distribution of art make it a very fertile landscape for exploration and experimentation. Honestly, I find the traditional art world quite stagnant in its approach to technology. It is almost as if traditional art curriculums turn their back to our contemporary technological realities, and if they adopt some sort of look or introspection that relates to technology, it is usually quite a few years late. It is crazy to think it is still hard in some traditional circles to have technological art considered a valid art form. This is why, for me, the crypto art environment is interesting, it is very technology-native, and so the attention to what is happening with technology is very novel and updated, it is fast-paced in the same manner that technological development is, and it provides an honest, accurate look at contemporary culture, in a way that the traditional art world can’t keep up with because of its interests and scale. I don’t renounce the traditional art world, I’m very much interested in a lot of things that it has that the crypto art scene doesn’t, so I keep advocating for a cohesive intertwinement of both, a mutual nurturing. Even the distinction between both feels a bit silly sometimes. It’s all art we are talking about in the end. But the crypto art world developed so fast and came out of the underground so quickly that I feel it missed a bit of depth in its contextualization and organization. 

Julian Brangold, Observation Machine (Fragmentation), 2022

You are now director of programming at the Museum of Crypto Art. Tell us about this entity and your role in it. How do you define crypto art, and what do you find more interesting about it?

The Museum of Crypto Art (MOCA) is in my mind the very first web3 native proper art institution project. It began as one of the largest crypto art collections and became a space for empowering, contextualizing, and displaying digital art in experimental new ways that were in tune with web3 technologies. Decentralization plays a very important role in the museum’s ethos, and so my role as director of programming is to create a cultural output curriculum that follows that ideology. This is why, beginning next year, we will begin to experiment with the museum’s DAO and have the community of art enthusiasts, collectors, and artists participate in the construction of that curriculum collectively. 

We are looking into ways of creating an art program that escapes the top-down dynamics of traditional institutions, which are inescapably mediated by political and cultural bias, without losing the paramount power of cultural resources such as expert curation, historicization, critique, archiving, and the creation of artistic experiences. It is a very challenging project and holds a great deal of responsibility, but it is one of the most exciting ones I’ve ever been involved with. 

“The fact that an artwork can be sold as unique to one individual at the same time that it is readily available for anyone to experience in its native form is very powerful.”

I find the definition of crypto art as challenging as the definition of art itself. I am a big advocate of definition by context, both in the notions of art and crypto art. So, I guess I would define crypto art as whatever art exists in the context of blockchain technologies. The same goes for art in general, which for me is whatever exists within an “art-appointed” context. As an artist, I find crypto art interesting in its nativeness to technology, and in its potential for experimentation and the exploration of distribution and commercialization. The fact that an artwork can be sold as unique to one individual at the same time that it is readily available for anyone to experience in its native form is very powerful.

As an Argentinian, I’ve struggled a lot with the accessibility of art (my artistic idols had exclusive exhibitions in London and New York all the time, so I simply didn’t have, and still don’t have, access to their works), so the fact that crypto art is an ecosystem that hosts art that is naturally networked and accessible to anyone with access to the internet is very captivating to me. The problematizing of certain arbitrary boundaries established by the traditional art market, between “the high arts” and other creative disciplines, is also something I find quite appealing. In general, I have to say that the disruptive nature of crypto art, and the fact that it challenges an art world status quo, is one of the most interesting things for me. It kind of fucks things up a bit, and I find that quite exhilarating, and honestly, quite necessary too.