Difference between revisions of "Neural aesthetics"

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* [https://monoskop.org/log/?p=19784 ''Glass Bead'' 2: "Site 1: Logic Gate, the Politics of the Artifactual Mind"], eds. Fabien Giraud, Jeremy Lecomte, Vincent Normand, Ida Soulard, and Inigo Wilkins, Nov 2017. {{en}}/{{fr}}
 
* [https://monoskop.org/log/?p=19784 ''Glass Bead'' 2: "Site 1: Logic Gate, the Politics of the Artifactual Mind"], eds. Fabien Giraud, Jeremy Lecomte, Vincent Normand, Ida Soulard, and Inigo Wilkins, Nov 2017. {{en}}/{{fr}}
  
* Adrian Mackenzie, ''[https://1lib.cz/book/3525946/b748f3 Machine Learners: Archaeology of a Data Practice]'', MIT Press, 2017, 272 pp. [https://github.com/datapractice/machinelearners Draft]. [https://monoskop.org/log/?p=20147]
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* Adrian Mackenzie, ''[http://libgen.rs/book/index.php?md5=61155ABF8B19B3830D4DF56B8DA5B9B5 Machine Learners: Archaeology of a Data Practice]'', MIT Press, 2017, 272 pp. [https://github.com/datapractice/machinelearners Draft]. [https://monoskop.org/log/?p=20147]
  
 
* Eirini Malliaraki, [https://medium.com/@eirinimalliaraki/toward-ethical-transparent-and-fair-ai-ml-a-critical-reading-list-d950e70a70ea "Toward ethical, transparent and fair AI/ML: a critical reading list"], ''Medium'', Feb 2018.
 
* Eirini Malliaraki, [https://medium.com/@eirinimalliaraki/toward-ethical-transparent-and-fair-ai-ml-a-critical-reading-list-d950e70a70ea "Toward ethical, transparent and fair AI/ML: a critical reading list"], ''Medium'', Feb 2018.
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* Krystian Woznicki, [https://blogs.mediapart.fr/krystian-woznicki/blog/270120/silent-works-what-hidden-human-labor-ai-driven-capitalism "Silent Works: What Is the Hidden Human Labor In AI-Driven Capitalism?"], ''Mediapart'', 27 Jan 2020. [https://projekte.berlinergazette.de/silent-works/ Project website].
 
* Krystian Woznicki, [https://blogs.mediapart.fr/krystian-woznicki/blog/270120/silent-works-what-hidden-human-labor-ai-driven-capitalism "Silent Works: What Is the Hidden Human Labor In AI-Driven Capitalism?"], ''Mediapart'', 27 Jan 2020. [https://projekte.berlinergazette.de/silent-works/ Project website].
  
* Stephen Cave, Kanta Dihal, Sarah Dillon (eds.), ''[https://1lib.sk/book/6119697/37a2e3 AI Narratives: A History of Imaginative Thinking about Intelligent Machines]'', Oxford University Press, Mar 2020, 448 pp. [https://global.oup.com/academic/product/ai-narratives-9780198846666 Publisher].
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* Stephen Cave, Kanta Dihal, Sarah Dillon (eds.), ''[http://libgen.rs/book/index.php?md5=BE21505ABDF126ECDA4A282CD5DA3D37 AI Narratives: A History of Imaginative Thinking about Intelligent Machines]'', Oxford University Press, Mar 2020, 448 pp. [https://global.oup.com/academic/product/ai-narratives-9780198846666 Publisher].
  
 
* Mark Coeckelbergh, ''[https://aaaaarg.fail/thing/5e7517579ff37c6aef2e81c3 AI Ethics]'', MIT Press, Apr 2020, 248 pp. [https://mitpress.mit.edu/books/ai-ethics Publisher].
 
* Mark Coeckelbergh, ''[https://aaaaarg.fail/thing/5e7517579ff37c6aef2e81c3 AI Ethics]'', MIT Press, Apr 2020, 248 pp. [https://mitpress.mit.edu/books/ai-ethics Publisher].
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* Tomasz Hollanek, [https://doi.org/10.1007/s00146-020-01110-y "AI Transparency: A Matter of Reconciling Design with Critique"], ''AI & Society'', Nov 2020.  
 
* Tomasz Hollanek, [https://doi.org/10.1007/s00146-020-01110-y "AI Transparency: A Matter of Reconciling Design with Critique"], ''AI & Society'', Nov 2020.  
  
* Yarden Katz, ''Artificial Whiteness: Politics and Ideology in Artificial Intelligence'', Columbia University Press, Nov 2020, 352 pp. [https://cup.columbia.edu/book/artificial-whiteness/9780231194914 Publisher].
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* Yarden Katz, ''[http://libgen.rs/book/index.php?md5=EF41C123A001B1F3560549E893FF5C91 Artificial Whiteness: Politics and Ideology in Artificial Intelligence]'', Columbia University Press, Nov 2020, 352 pp, [http://libgen.rs/book/index.php?md5=3CB67C1971121207AC93B7E60A1263B8 EPUB]. [https://cup.columbia.edu/book/artificial-whiteness/9780231194914 Publisher].
  
* Kate Crawford, ''[https://1lib.sk/book/11927502/db3bf0 Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence]'', Yale University Press, Apr 2021, 336 pp, [https://1lib.sk/book/12202853/4f4ea5 EPUB]. [https://yalebooks.yale.edu/book/9780300209570/atlas-ai Publisher].
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* Kate Crawford, ''[http://libgen.rs/book/index.php?md5=11311C6A9AE8FCE28732EF52C339D42C Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence]'', Yale University Press, Apr 2021, 336 pp, [http://libgen.rs/book/index.php?md5=A88AD10B8916B2BCDF591C7B8CA3D2D4 EPUB]. [https://yalebooks.yale.edu/book/9780300209570/atlas-ai Publisher].
  
 
* Matteo Pasquinelli, [[Media:Pasquinelli Matteo 2021 How to Make a Class Hayeks Neoliberalism and the Origins of Connectionism.pdf|"How to Make a Class: Hayek’s Neoliberalism and the Origins of Connectionism"]], ''Qui Parle'' 30:1, Jun 2021, pp 159-184. [https://kim.hfg-karlsruhe.de/hayek-connectionism/] [https://www.academia.edu/49499953]
 
* Matteo Pasquinelli, [[Media:Pasquinelli Matteo 2021 How to Make a Class Hayeks Neoliberalism and the Origins of Connectionism.pdf|"How to Make a Class: Hayek’s Neoliberalism and the Origins of Connectionism"]], ''Qui Parle'' 30:1, Jun 2021, pp 159-184. [https://kim.hfg-karlsruhe.de/hayek-connectionism/] [https://www.academia.edu/49499953]

Revision as of 10:57, 8 April 2023

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

Events

2014

2015

  • 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.

2016

2017

2018

2019

2020

2021

2022

Artists, designers, writers, musicians, makers

Initiatives

Literature, data, resources

Arts practice and criticism

  • 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

See also exhibitions in the Events section above.

Recent debates on artificial intelligence in the humanities and social sciences

  • 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, "China.ai", in Realtime: Making Digital China, eds. Clément Renaud, Florence Graezer Bideau, and Marc Laperrouza, PURR, Jan 2020, pp 154-169. Book. Book launch.
  • 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]
more

Software

  • 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

Datasets

See also

Courses and textbooks for artists

Textbooks
Video lectures
Introductions
MOOC
Resources

Research papers

Scientific introduction into deep learning

Historization of deep learning

  • 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.