Neural aesthetics

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Partial results of the "hello world" test of a machine learning algorithm, automated recognition of handwritten digits, showing 125 test cases that the network got wrong. Each case is labeled by the network’s guess. The true classes are arranged in standard scan order. Source: Hinton et al 2006.
Basic structure of a neural network. Several techno-logical forms can be identified in the concept: scansion, that is discretisation or digitisation since the age of radio, TV, etc.; feedback loop, or the basic concept of cybernetics; and network form, here inspired by biological neurons. Diagram by Matteo Pasquinelli with Lukas Rehm, 2017. Source.

Resource on recent work between art/design and artificial neural networks in machine learning, or AI art, creative AI, art and artificial intelligence




  • The Lab at the Google Cultural Institute, Paris, launches a 'machine learning for art' residency, early 2015 - mid-2016. Artists: Mario Klingemann, Cyril Diagne. Talk. Works.
  • DeepDream launched by Google's software engineers Alexander Mordvintsev, Christopher Olah and Mike Tyka, 17 Jun 2015. Reddit post from a day earlier. Vice coverage. Source code.
  • (Artifical Intelligence) Digitale Demenz exhibition, HMKV, Dortmund, 14 Nov 2015-6 Mar 2016. An exhibition exploring the relationship between contemporary art and artificial intelligence. Works by Erik Bünger, John Cale, Brendan Howell, Chris Marker, Julien Prévieux, Suzanne Treister, and !Mediengruppe Bitnik. Curated by Thibaut de Ruyter.








Artists, designers, writers, musicians, makers[edit]


Literature, data, resources[edit]

Arts practice and criticism[edit]

  • Melpomene, Bagabone, Hem ‘I Die Now, New York: Vantage Press, 1980, 136 pp. Perhaps the first novel that was purportedly written by a computer.
  • Digimag 76: "Smart Machines for Enhanced Arts", eds. Silvia Bertolotti and Marco Mancuso, Milan: Digicult, Summer 2017, 74 pp, EPUB. Texts by Memo Akten, Claire Burke, Geoffrey Drake-Brockman, Jerry Galle, Eugene Kogan, Robert B. Lisek, Filippo Lorenzin, Andreas Refsgaard, Liu Yuxi, Alessandro Masserdotti. [16]
  • Algolit, Data Workers, Brussels: Constant, Mar 2019. (English)/(French)
  • Entangled Realities: Living with Artificial Intelligence / Leben mit künstlicher Intelligenz, eds. Sabine Himmelsbach and Boris Magrini, Merian, 2019, 229 pp. Catalogue. Exhibition. Review: Cianciotta (Neural). (English)/(German)
  • Espace 124: "IA, art sans artistes? / AI, art without artists?", Montreal, Jan 2020. Special issue of magazine. Introduction. TOC. (French)/(English)
  • Angie Keefer (ed.), Version Space, Library Stack, 2020-2022. A series of pamphlets transcribing conversations among artists and graduate students in visual art regarding Artificial Intelligence and related topics.
  • K Allado-McDowell, Pharmako-AI, intro. Irenosen Okojie, Ignota, 2020, 152 pp. [22]
  • Ben Vickers, K Allado-McDowell (eds.), Atlas of Anomalous AI, forew. Bill Sherman, Ignota, 2020, 303 pp. [23]
  • Ilan Manouach, Anna Engelhardt (eds.), Chimeras: Inventory of Synthetic Cognition, Athens: Onassis Foundation, 2022, 536 pp. With contributions from 150 researchers and artists. [25] [26]

Online galleries and collections[edit]

See also exhibitions in the Events section above.

Recent debates on artificial intelligence in the humanities and social sciences[edit]

  • Florian Hecker, Robin Mackay, "On Sound and Artificial Neural Networks", in Writing and Unwriting (Media) Art History: Erkki Kurenniemi in 2048, eds. Joasia Krysa and Jussi Parikka, MIT Press, Sep 2015, pp 279-289.
  • Clemens Apprich, Wendy Hui Kyong Chun, Florian Cramer, Hito Steyerl, Pattern Discrimination, Lüneburg: meson press, with University of Minnesota Press, Nov 2018, xii+123 pp.
  • Lev Manovich, AI Aesthetics, Moscow: Strelka Press, Dec 2018, 57 pp. Excerpt. [33] [34] [35]
    • Estetika umetne inteligence, trans. Tamara M. Soban, afterw. Vuk Ćosić, Ljubljana: Mestni muzej Ljubljane, and Zavod Basic, 2019, 79 pp. (Slovenian)
  • Katerina Cizek, William Uricchio, Sarah Wolozin, "Media Co-Creation with Non-Human Systems", in Cizek, Uricchio, et al., Collective Wisdom: Co-Creating Media within Communities, across Disciplines and with Algorithms, 3 Jun 2019.
  • Gabriele de Seta, "", in Realtime: Making Digital China, eds. Clément Renaud, Florence Graezer Bideau, and Marc Laperrouza, PURR, Jan 2020, pp 154-169. Book. Book launch.
  • Yarden Katz, Artificial Whiteness: Politics and Ideology in Artificial Intelligence, Columbia University Press, Nov 2020, 352 pp. Publisher.
  • Karen Hao, et al., "AI Colonialism", MIT Technology Review, Apr 2022. Article series.
  • Holo 3: "Mirror Stage: Between Computability and Its Opposite", ed. Nora N. Khan, May 2022, 228 pp. Research notes. Publisher.
  • Ramon Amaro, The Black Technical Object: On Machine Learning and the Aspiration of Black Being, Berlin: Sternberg Press, Nov 2022, 152 pp. [41] [42]
  • Amanda Wasielewski, Computational Formalism: Art History and Machine Learning, MIT Press (Leonardo), forthcoming May 2023, 200 pp. Publisher.
  • Matteo Pasquinelli, The Eye of the Master: A Labour Theory of Artificial Intelligence, London: Verso, forthcoming Oct 2023, 288 pp. [43]



  • Tensorflow, an open source machine learning framework. Developed by the Google Brain team for internal Google use. Released under an open-source license on Nov 2015.
  • ml5.js, an open source machine learning library for the web. Launched Jun 2018.
  • Magenta Studio, a suite of free music-making tools using Magenta's machine learning models. Available as an Ableton plugin or as standalone Electron apps. Launched Nov 2018.
  • Runway, a toolkit that adds artificial intelligence capabilities to design and creative platforms. Built by Cristóbal Valenzuela. First alpha released May 2018.
  • GAN Playground - Explore Generative Adversarial Nets in your Browser, by Reiichiro Nakano, 2017.
  • Magenta demos


See also

Courses and textbooks for artists[edit]

Video lectures

Research papers[edit]

Scientific introduction into deep learning[edit]

Historization of deep learning[edit]

  • Yann LeCun, Yoshua Bengio, Geoffrey Hinton, "Deep Learning", Nature 521, 28 May 2015, pp 436-444. Critiqued by Schmidhuber recasting the recent advances of deep learning as building on top of prior work with multilayer neural networks, going back decades.

Art and Culture

Avant-garde and modernist magazines, Dance, Artists' publishing, Graphic design, Photography, Typewriter art, Multimedia environments, Design research, Video activism, Urban practices, Zine culture, Demoscene, VJing, Live cinema, Art and technology centres, Cyberfeminism, Community television, Hacktivism, Community servers, Hackerspaces, CD-ROM art, Circuit bending, Pure Data, Media archives, VVVV, Maker culture, Glitch art, Live coding, Locative media, Libre graphics, Electromagnetism, Surf clubs, DIY biology, Post-digital, Neural aesthetics.
See also Art styles and movements.

communities of practice

Art and technology centres, Circuit bending, Community servers, Copyright activism, Data activism, Demoscene, Digital libraries, DIY biology, Federated networks, File sharing, Free software, Game art, Hacker culture, Hackerspaces, Hacktivism, Internet activism, Internet of things, Libre graphics, Live coding, Maker culture, Media archives, Net art, Neural aesthetics, Open hardware, Software art, VJing, VVVV.
See also Artists' cultures.