An open knowledge list for all to add to, use, and share with others.
Created for the cultural production of AI: investigating various methods, such as: computer vision, artificial intelligence, neurorobotics, speech recognition, generative writing, generative music, image manipulation, statistical modelling. This page will be updated by myself and the community every now and then. It is a large document so it will need dedicated minds and eyes. However, it will be worth it, because there are some excellent and high quality books, articles, interviews, exhibitions and platforms to discover. Please reference this resource page as a matter of respect to all those who have contributed to it.
For now, this list will be based here. But, there are plans for it to be moved elsewhere sometime. When it happens I’ll let people know. Also, if you wish to clean this list up a bit more – please do. I’m far too busy at the moment, you will be credited for your time. Contact me privately for this.
A big thanks to all the contributors who given their time and added their material to the list. If you wish to know they are, please visit the bottom of this page.
Joanna ZylinskaAI Art: Machine Visions and Warped Dreams. Open Humanities Press 2020. PDF freely available to download. http://www.openhumanitiespress.org/books/titles/ai-art/
Sautoy, Du, Marcus. The Creativity Code. Harvard University Press, 2020.
Patricia De Vries. Algorithmic Anxiety in Contemporary Art: A Kierkegaardian Inquiry into the Imaginary of Possibility. 2020. PDF Download Link – https://tinyurl.com/y745v836
Entangled Realities. Sabine Himmelsbach & Boris Magrini. Publisher, Christoph Merian Verlag. 2020.
Bassett, C., 2017. The Tendency of Utopia to Disappoint: Digital technologies and Future Hopes. [Professorial Lecture] Available at: <https://matterhorn-presentation.uscs.susx.ac.uk/engage/theodul/ui/core.html?id=a3b4b829-cafe-4e92-b93c-b7f3ac924861> [Accessed 8 Jan. 2018].
Bassett, C., 2007. The arc and the machine : narrative and new media. Manchester: Manchester University Press.
Mueller, R.E., 1967. The science of art : the cybernetics of creative communication. London: Rapp and Whiting.
O’Connell, M., 2017. Art as ‘artificial stupidity’. [doctoral] University of Sussex. Available at: <http://sro.sussex.ac.uk/67604/> [Accessed 8 Jun. 2017].
Pickering, A., 2011. The cybernetic brain: sketches of another future. Chicago ; London: University of Chicago Press.
Roberts, J., 2008. The Intangibilities of Form: Skill and Deskilling in Art after the Readymade. London ; New York: Verso. (one or two chapters in that in particular: Micheál O’Connell)
Stuart J. Russell and Peter Norvig, Artificial Intelligence. A Modern Approach. Third edition. Boston: Prentice Hall, 2019
Philippa Thornton. Language in the Age of Algorithmic Reproduction: A Critique of Linguistic Capitalism. Publisher: University of London. Series: PhD dissertation, 2019. PDF Download Link – https://tinyurl.com/ya5xfhe3
Furious: Technological Feminism and Digital Futures. Caroline Bassett, Sarah Kember, Kate O’Riordan. Pluto Press, 2019.
Miller, Arthur I. The Artist in the Machine. MIT Press, 2019.
Karen Yeung, Martin Lodge. Algorithmic Regulation. Publisher: Oxford University Press, 2019. PDF Download Link – https://tinyurl.com/yby6dcky
Meredith Broussard, Artificial Unintelligence. How Computers Misunderstand the World. Cambridge-London: The MIT Press, 2018
Paul R. Daugherty and H. James Wilson. Human + Machine: Reimagining Work in the Age of AI. Boston: Harvard Business Publishing, 2018
Adrienne Mayor. Gods and Robots. Myths, Machines and Ancient Dreams of Technology. Princeton-Oxford: Princeton University Press, 2018
Lev Manovich. AI Aesthetics. Strelka Press, Moscow, 2018. PDF Download Link – http://manovich.net/index.php/projects/ai-aesthetics
Ian Cheng: Emissaries Guide to Worlding. Hans-Ulrich Obrist, Yana Peel, Ben Vickers, Nora Khan (Author), & 5 more. Publisher: Verlag der Buchhandlung Walther Konig, 2018.
Ajay Agrawal, Joshua Gans y Avi Goldfarb. Prediction Machines: The Simple Economics of Artificial Intelligence. Boston: Harvard Business Publishing, 2018
Anderson, Steve F. Technologies of Vision: The War Between Data and Images. MIT Press, 2017.
Hito Steyerl. Duty Free Art: Art in the Age of Planetary Civil War. Verso. 2017.
Frank Pasquale. The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press. 2016
Margaret A. Boden. AI. Its Nature and Future. Oxford: Oxford University Press, 2016
Ethem Alpaydin. Machine Learning. The New AI. Cambridge – London: The MIT Press, 2016
O’Brien, F., 2007. The third policeman. London: Harper Perennial.
Pedro Domingos. The Master Algorithm. How the quest for the ultimate learning machine will remake our world. Londres: Penguin Books, 2015
Ray Kurzweil, The Age Of Spiritual Machines. When Computers Exceed Human Intelligence. New York: Penguin Books, 1999
David Link. Archaeology of Algorithmic Artefacts. 2016. PDF Download Link – https://tinyurl.com/ycasl32k
Cathy O’Neil, Weapons of Math Destruction. How Big Data Increases Inequality And Threatens Democracy. New York: Crown Publishing, 2016
Benjamin Peters. Digital Keywords: A Vocabulary of Information Society and Culture. 2016. Published by press.princeton.edu
Nervous Systems. Editors: Anselm Franke, Stephanie Hankey, Marek Tuszynski. Publisher: Haus der Kulturen der Welt, Berlin / Spector Books, 2016.
Alan M. Turing, “Computing Machinery and Intelligence.” Mind, New series, Vol. 59, No. 236 (October 1950), pp. 433-460. Published by Oxford University Press. http://www.jstor.org/stable/2251299
Brad Brace. Early Internet Art Instruction – http://bbrace.net/education.html
Gary Marcus and Ernest Davis, Rebooting AI. Building Artificial Intelligence We Can Trust. New York: Pantheon Books, 2019.
McCorduck, Pamela. Machines Who Think: A Personal Inquiry Into the History and Prospects of Artificial Intelligence. AK Peters, 2004.
Pasquinelli, Matteo (Hg.): Alleys of Your Mind. Augmented Intelligence and Its Traumas. Lüneburg: meson press 2015. PDF Download Link – http://matteopasquinelli.com/augmented-intelligence-traumas/
Sadie Plant. Zeroes and Ones: Digital Women and the New Technoculture. Publisher: Doubleday. 1997. PDF Download Link – https://tinyurl.com/yc72jkdn
“Urban AI” report by Hubert Beroche – https://smartworld-ai.com/urban-ai-report/
Taylor, G. D. (2014) When the machine made art: the troubled history of computer art.
Alexander R. Galloway. Gaming: Essays on Algorithmic Culture. Publisher, Univ Of Minnesota Press, 2006. PDF Download Link – https://tinyurl.com/ybmzg4wp
Weizenbaum, J. (1976) Computer power and human reason: from judgment to calculation. San Francisco: Freeman.
Wiener, O. (1990) Probleme der künstlichen Intelligenz. Berlin: Merve (Perspektiven der Technokultur, 158).
Zylinska, J. (2020) AI Art: Machine Visions and Warped Dreams (Open Humanities Press) – http://www.openhumanitiespress.org/books/titles/ai-art/
Whitby, B., c2003. Artificial intelligence : a beginner’s guide. Oxford: Oneworld.
Lanier, J., 2011. You are not a gadget : a manifesto. [Updated ed., Paperback ed.] ed. London: Penguin.
Bell, D. and Kennedy, B.M., 2007. The cybercultures reader. New York: Routledge.
Negarestani, Reza, 2018 Intelligence and Spirit. London: Urbanomic
Zellinger, Martin. (forthcoming) Portrait of the Artist Without Agency: Digital Art Between Artificial Intelligence and Intellectual Property (working title, Meson Press)
Kelly, Kevin, 2010. What Technology Wants. New York: Viking Press (see also Lanier’s You are not a gadget: a manifesto, above).
Interviews, Articles, and Magazines
Garcia, D. 2019. Beyond the Evidence. new tactical research. http://new-tactical-research.co.uk/blog/beyond-the-evidence-2/
Marc Garrett interviews Gretta Louw about her exploration with Generative Adversarial Networks (GANs) and her artwork, in collaboration with her son called ‘They Learn Like Small Children’. Educating the machine, training an AI to make humane art. News From Where We Are | The Furtherfield Podcast #2 2020 – https://buff.ly/2XzB0mX
Tim Maughan. Defund the Police, but Don’t Replace It With Surveillance Tech. In order to stop a power grab from surveillance companies and tech giants, we need to define what policing is. Medium. Jun 24 2020.
We Make Money Not Art
Barad, K., 2003. Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter. Signs, 28(3, Gender and Science: New Issues), pp.801–831.
Wrongfully Accused by an Algorithm. New York Times. By Kashmir Hill. June 24, 2020 https://www.nytimes.com/2020/06/24/technology/facial-recognition-arrest.html?smid=tw-share
Why general artificial intelligence will not be realized. Nature.com. Ragnar Fjelland. June 2020 https://www.nature.com/articles/s41599-020-0494-4
The Creation of An Artificial Artist. By Pindar Van Arman. July 1, 2020. https://editorial.superrare.co/2020/07/01/the-creation-of-an-artificial-artist/
Hazel Davis. Robot rhythms: the startups using AI to shake up the music business. The Guardian. Aug 2019. https://tinyurl.com/yb62qex5
Joel McKim. Trevor Paglen trains his sights on the rise of machine vision. Apollo Magazine. Oct 2019. https://www.apollo-magazine.com/trevor-paglen-machine-vision/
Tedone, G (2019) “From Spectacle to Extraction. And All Over Again: an interview with Kate Crawford & Trevor Paglen”. Unthinking Photography The Photographers’ Gallery Available:
Malevé, Nicolas (2019) ‘An Introduction to Image Datasets’ Unthinking Photography The Photographers’ Gallery Available:
Machine Learning & Generative Poetry (Anderson Ranch 2019 workshop impressions). Cybersalon.
Simon Sarginson in Writing October 13, 2019. https://tinyurl.com/ybljxtxg
Kate Crawford and Trevor Paglen, “Excavating AI. The Politics of Images in Machine Learning Training Sets,” Exacvating AI, 2019. https://www.excavating.ai
Nora Khan, “Seeing, Naming, Knowing”, Brooklyn Rail, 2019
Dewey-Hagborg, Heather (2018) ‘Generative Representation’ Unthinking Photography The Photographers’ Gallery Available: https://unthinking.photography/articles/generative-representation
Nora N. Khan, “Towards a Poetics of Artificial Superintelligence”, after us, 2015
Karen Hao, “Training a single AI model can emit as much carbon as five cars in their lifetimes,” MIT Technology Review, 6 June 2019.https://www.technologyreview.com/s/613630/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/
Madhvi Ramani, “Art-ificial Intelligence”, The Wilson Quarterly, 2018
AI & Culture: Buildings, Cities (and Infrastructures, and Beyond…). Carnegie Mellon School of Design, Prof. Molly Wright Steenson, Fall 2018. https://tinyurl.com/y87725jg
Anna Ridler, “Fall of the House of Usher. Datasets and Decay”. Victoria and Albert Museum, 17 September, 2018. https://www.vam.ac.uk/blog/museum-life/guest-blog-post-fall-of-the-house-of-usher-datasets-and-decay
Lauren McCarthy, “Feeling at Home: Between Human and AI”, Immerse, 8 January 2018. https://immerse.news/feeling-at-home-between-human-and-ai-6047561e7f04
Cox, Geoff (2016) “Ways of Machine Seeing”. Unthinking Photography The Photographers’ Gallery Available: https://unthinking.photography/articles/ways-of-machine-seeing
Malevé, Nicolas (2016) ‘“The cat sits on the bed”, Pedagogies of vision in human and machine learning’. Unthinking Photography The Photographers’ Gallery Available:https://unthinking.photography/articles/the-cat-sits-on-the-bed-pedagogies-of-vision-in-human-and-machine-learning
Luc Steels – Evolution of Communication and Language (mp3). Talking Robots podcasts. November 24, 2006. https://tinyurl.com/y7yn5svy
Stephen Wilson, “Artificial Intelligence Research As Art”, 1994
Art, Exhibitions, and Video Links
Mary Flanagan. [Grace:AI] Origin Story (Frankenstein). The AI examines thousands of images of Mary Shelley’s monster, classic ‘Frankensteins’ gathered from online databases and image banks, rendering a series of original images of her “father figure” as archival dye sublimation prints on aluminum. (ongoing) https://studio.maryflanagan.com/grace-ai/
Discussing “The Question of Intelligence” with Curator Christiane Paul. Digicult. By Marie Chatel. 2020. http://digicult.it/articles/discussing-the-question-of-intelligence-with-curator-christiane-paul/
Uncanny Valley: Being Human in the Age of AI. deYoung Museum. Feb-Oct 2020
D3US EX M4CH1NA. Art and Artificial Intelligence. LABoral Centro de Arte de Creación Industrial, Gijón (Spain). November 22, 2019 – May 16, 2020. Exhibition curators: Karin Ohlenschläger and Pau Waelder. http://www.pauwaelder.com/d3us-ex-m4ch1na-art-and-artificial-intelligence/
Jukka Hautamäki, ‘Restituo’ exhibition, MUU Gallery, Helsinki, 29.2.-5.4. & 2.-18.6.2020
Ian Cheng: BOB. Serpentine Gallery 6 Mar — 22 Apr 2018.
Ian Cheng: Emissaries. Serpentine Gallery 6 Mar — 22 Apr 2018.
The First AI-Generated Portrait Ever Sold at Auction Shatters Expectations, Fetching $432,500—43 Times Its Estimate. October 25, 2018. https://tinyurl.com/y9t2kkte
THE_OPER& by John Supko & Bill Seaman; dir. by Jim Findlay; perf. by Lorelei Ensemble. 2018. https://vimeo.com/319379764
Understanding AI – Permanent Exhibition at Ars Electronica Center, Linz, since 2019 https://ars.electronica.art/center/en/exhibitions/ai/
Embassy of the Republic of Užupis to Munich – only art project involved in EU policy making on ethical AI http://uzhupisembassy.eu/emb/, initiated 1 APR 2017
Smile to Vote – Political Physiognomy Analytics, Alexander Peterhaensel (2017). Artistic research project on the implications of AI-driven biometric scoring methods and their effects on democratic processes, self-determination and privacy in the digital age.https://alexanderpeterhaensel.com/smiletovote
IAQOS – Using Arts to build a community driven smart city infrastructure. initiated 31 MAR 2019 https://www.he-r.it/project/intelligenza-artificiale-di-quartiere-open-source/
The Question of Intelligence – AI and the Future of Humanity, Sheila C. Johnson Design Center, The New School (February 7 – April 8, 2020) https://www.newschool.edu/parsons/all-exhibitions/?id=17179880749
The 7 Configurations cycle (2014-2019), a cycle of performances and installations focusing on the relation of AI and body politics. How to understand the effects of AI and robotics on interpersonal and institutional power? https://7c.marcodonnarumma.com/
Ben Bogart, over a decade of experiments in “machine dreaming” http://www.ekran.org/ben/wp/
Stepahnie Dinkins, Conversations with BINA48 (2014-ongoing)https://www.stephaniedinkins.com/conversations-with-bina48.html
Tega Brain, Julian Oliver, Bengt Sjölen, Asunder (2019)https://uncannyvalues.org/works/asunder
Vasari Centre/V&A Prehistories and Futures of Machine VIsion Symposium (Audio coming soon):https://www.vam.ac.uk/event/15jOPmEm/pre-histories-and-futures-of-machine-vision-feb-2020
V&A Artificially Intelligent Display (curated by Irini Papadimitriou)https://www.vam.ac.uk/event/Ed6aWGg9/artificially-intelligent-display
AI: More than Human. Barbican. Thu 16 May—Mon 26 Aug 2019 – https://www.barbican.org.uk/whats-on/2019/event/ai-more-than-human
Cybernetic Serendipity, 1968 – https://www.youtube.com/watch?v=n8TJx8n9UsA & https://archive.ica.art/whats-on/cybernetic-serendipity-documentation
What the Robot Saw, 2020 (Amy Alexander) – https://what-the-robot-saw.com/
SVEN: Surveillance Video Entertainment Network: 2006/7 (Amy Alexander, Wojciech Kosma, Vincent Rabaud with Nikhil Rasiwasia and Jesse Gilbert) https://amy-alexander.com/live-performance/sven.html
The Kitty AI Artificial Intelligence for Governance, 2016 (Pinar Yoldas) https://www.pinaryoldas.info/The-Kitty-AI-Artificial-Intelligence-for-Governance-2016
Preternatural: An exhibition of works by Jake Elwes. Experiential AI. Edinburgh Futures Institute. Inspace City Screen, 2-30 August 2019 (Curated exhibition) – https://efi.ed.ac.uk/jake-elwes-exhibition/
Erin Gee. Machine Unlearning (2020). 30 mins ASMR video – 5 min preview here – https://www.youtube.com/watch?v=6EpLgXusOsI&feature=emb_logo
Andy Gracie – Small Work for Robot and Insects – https://www.hostprods.net/work#/small-work-for-robot-and-insects/
Andy Gracie – Fish Plant Rack – https://www.hostprods.net/work#/fish-plant-rack/
Andy Gracie – Autoinducer_Ph-1 – https://www.hostprods.net/work#/autoinducer_ph1/
[Symposium] ‘What Does the Dataset Want? Photography & Classification in the 21st Century’, The Photographers’ Gallery London, 14th September 2019. Speakers: Zach Blas, Heather Dewey-Hagborg, Nicolas Malevé, Anna Ridler, Daniel Rubinstein, Katrina Sluis – https://thephotographersgallery.org.uk/whats-on/talks-and-events/symposium-what-does-dataset-want
‘Data/Set/Match’ A yearlong programme of commissions and public programming 2019-2020 at The Photographers’ Gallery London about the politics and aesthetics of the image dataset. It includes new commissions by artists working with existing computer science datasets: Everest Pipkin, Heather Dewey-Hagborg, xtine burrough & Sabrina Starnaman, Philipp Schmitt, Mimi Onouha. https://thephotographersgallery.org.uk/content/data-set-match
[Panel] Sliding into a Face: the aesthetics and politics of image recognition. The Photographers’ Gallery, 2016. Video Available: https://www.youtube.com/watch?v=RUc4b9K1WLw
Zach Blas. Face Cages 2013–16. Four queer artists, including micha cárdenas, Elle Mehrmand, Paul Mpagi Sepuya, and Zach Blas, generate biometric diagrams of their faces, which are then fabricated as three-dimensional metal objects, evoking a material resonance with handcuffs, prison bars, and torture devices used during the Medieval period and slavery in the United States. The metal face cages are then worn in endurance performances for video. Face Cages is presented as an installation that features the four performance videos and four metal face cages. https://zachblas.info/works/face-cages/
Zach Blas. Facial Weaponization Suite 2011-14. Amorphous masks that cannot be detected as human faces by biometric facial recognition technologies. The masks are used for public interventions and performances. https://zachblas.info/works/facial-weaponization-suite/
Gee, Erin and Sofian Audry. “Automation as Echo.” ASAP/Journal, vol. 4 no. 2, 2019, p. 307-312.
Fiebrink, R., and B. Caramiaux. 2018. “The Machine Learning Algorithm As Creative Musical Tool.” In A. McLean and R. Dean, Editors, The Oxford Handbook of Algorithmic Music. Oxford University Press.
Fiebrink, R. 2017. “Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation.” In T. Bovermann et al., Editors, Musical Instruments in the 21st Century. pp. 137–151. Springer. ISBN 978-981-10-2950-9.
Fiebrink, R. and L. Sonami. 2020. “Reflections on eight years of instrument creation with machine learning.” Proceedings of the International Conference on New Interfaces for Musical Expression (NIME), 21–25 July 2020
Philippe Pasquier, Oliver Bown, Arne Eigenfeldt, Schlomo Dubnov, An Introduction to Musical Metacreation, ACM Computers in Entertainment, vol 14, num 2, 2016
Recombinant Text and Narrative. By Jeremy Hight. 2020 – http://www.neme.org/texts/recombinant-text-and-narrative
Sentient Text. By Jeremy Hight. 2020 – http://www.neme.org/texts/sentient-text
Plummer-Fernandez, Matthew. 2019. The art of bots: A practice-based study of the multiplicity, entanglements and figuration of sociocomputational assemblages. Doctoral thesis, Goldsmiths, University of London [Thesis]. http://research.gold.ac.uk/26599/
Lev Manovich. Defining AI Arts: Three Proposals. Hermitage Museum, Saint-Petersburg, Russia, exhibition catalog for AI and Dialog of Cultures, 2018.http://manovich.net/index.php/projects/defining-ai-arts-three-proposals
Hassine, T., Neeman, Z. (2019). “The Specter of Zombies is Haunting AI Art. How AI Resurrects Dead Masters, and Alternative Suggestions for AI Art and Art History”. In Rangel, A., Ribas, L., Verdicchio, M., Carvalhais, M., CITAR Journal of Science and Technology of the Arts. Portuguese Catholic University, Porto. http://artes.ucp.pt/citarj/article/view/663
Peterhaensel, Alexander. “Smile to Vote: Towards Political Physiognomy Analytics – Predicting Electoral Behavior from Live Video”, In: Academic Proceedings of the 24th International Symposium on Electronic Art. Durban University of Technology, Durban, South Africa. 25 – 27 June (2018). pp.79-85, ISBN 978-0-620-80332-8
Agüera y Arcas, Blaise. “Art in the Age of Machine Intelligence.” Arts 6.4 (2017): 18–9.
Audry, Sofian, and Jon Ippolito. “Can Artificial Intelligence Make Art Without Artists? Ask the Viewer.” Arts 8.1 (2019): 35–8.
Bown, Oliver. “Attributing Creative Agency: Are We Doing It Right?.” Sixth International Conference on Computational Creativity 2015. 17–22.
Bridy, Annemarie. “Coding Creativity: Copyright and the Artificially Intelligent Author.” Stanford Technology Law Review (2012), 1-29.
Bridy, Annemarie. “The Evolution of Authorship: Work Made by Code.” Columbia Journal of Law Arts 39 (2016): 1–9.
Broeckmann, Andreas. “The Machine as Artist as Myth.” Arts 8.1 (2019): 25–10.
Cohen, Harold. “What is an Image?” 1979http://www.aaronshome.com/aaron/publications/whatisanimage.pdf
Craig, Carys and Ian Kerr. “The Death of the AI Author.” (2019)
Donnarumma, M. (2017). Beyond the cyborg: performance, attunement and autonomous computation. International Journal of Performance Arts and Digital Media, 13(2), 105–119.
Doherty, Shauna Jean. “Art in the Age of Artificial Intelligence.” Esse (2019): 1–6.
Edmonds, Ernest. “Algorithmic Art Machines.” Arts 7.1 (2018): 3–7.
Edward, J., Abdilla, A., Jones, O. P., Indigenous, F. H., Edward, J., Arista, N., … Kin, M. (2019). “Indigenous Protocol and Artificial Intelligence Workshops”, 5(3).
Grimmelmann, James. “There’s No Such Thing as a Computer-Authored Work — and It’s a Good Thing, Too.” Columbia Journal of Law Arts (2016)
Gunkel, David J. “Special Section: Rethinking Art and Aesthetics in the Age of Creative Machines.” Philosophy & Technology 30.3 (2017): 1–3.
Hertzmann, Aaron. “Can Computers Create Art?.” Arts 7.2 (2018): 18–25.
Jones, Nathan. 2020 “my monstituces composer: Looking for the Pre-Emergent Social Consciousness of AI in Small Data Literary Synthesis” Media-N Vol 16 No 1 (2020): Humans are Underrated: Art and Labor after Amazon https://doi.org/10.21900/j.median.v16i1.222
Lewis, J. E., Arista, N., Pechawis, A., & Kite, S. (2018). “Making Kin with the Machines.” Journal of Design and Science, 1–13.
Kurant, Agnieszka. “Phantom Capital, Hybrid Authorship, and Collective Intelligence.” Columbia Journal of Law Arts 39 (2016): n. pag. Print.
Mazzone, Marian, and Ahmed Elgammal. “Art, Creativity, and the Potential of Artificial Intelligence.” Arts 8.1 (2019): 26–9. Web.
Grietzer, Peli 2017 “A Theory of Vibe” Glass Bead Game https://www.glass-bead.org/article/a-theory-of-vibe/
Ramalho, Ana. “Will Robots Rule the (Artistic) World? a Proposed Model for the Legal Status of Creations by Artificial Intelligence Systems.” SSRN Electronic Journal (2017)
Sandry, Eleanor. “Creative Collaborations with Machines.” Philosophy & Technology 30.3 (2017)
Steinert, Steffen. “Art: Brought to You by Creative Machines.” Philosophy & Technology 30.3 (2017):
Sartor, Giovanni, Francesca Lagioia, and Giuseppe Contissa. “The Use of Copyrighted Works by AI Systems: Art Works in the Data Mill.” (2018)
Slater, Avery. “Crypto-Monolingualism: Machine Translation and the Poetics of Automation.” Amodern 8 (2018)
Smith, Glenn, and Frederic Fol Leymarie. “The Machine as Artist: an Introduction.” Arts 6.4 (2017): 5–7. Web.
Straeubig, M. (2019) ‘Do Machines Produce Art? No. (A Systems-Theoretic Answer.)’, in. Art Machines: International Symposium on Computational Media Art, Hong Kong City University.https://www.researchgate.net/publication/342354436_Do_Machines_Produce_Art_No_A_Systems-Theoretic_Answer
W.J. Clancey, Situated Cognition: On Human Knowledge and Computer Representations, Cambridge University Press, Cambridge, 1997.
Harold Cohen. Parallel to Perception: Some Notes on the Problem of Machine-Generated Art. University of California at SanDiego. 1973.
Dietrich, Frank. The Computer: A Tool for Thought-Experiments Leonardo Vol. 20, No. 4, 20th Anniversary Special Issue: Art of the Future: The Future of Art (1987), pp. 315-325http://www.vasulka.org/archive/Artists1/Dietrich,Frank/ThoughtExperiments.pdf?fbclid=IwAR2msWX05HJcVl7SKG2wbdJ0co0I4wpDOpttfnxYMUurA8XIa0iWlZSuSoE
Pasquinelli, Matteo. Three Thousand Years of Algorithmic Rituals. The Emergence of AI from the Computation of Space https://www.e-flux.com/journal/101/273221/three-thousand-years-of-algorithmic-rituals-the-emergence-of-ai-from-the-computation-of-space/
Emma Strubell, Ananya Ganesh y Andrew McCallum, “Energy and Policy Considerations for Deep Learning in NLP,” 57th Annual Meeting of the Association for Computational Linguistics (ACL), July, 2019. arXiv:1906.02243 [cs.CL]
Danks, David & London, Alex. (2017). Algorithmic Bias in Autonomous Systems. 4691-4697. 10.24963/ijcai.2017/654. https://www.cmu.edu/dietrich/philosophy/docs/london/IJCAI17-AlgorithmicBias-Distrib.pdf
Bishop, S. (2018). Anxiety, panic and self-optimization: Inequalities and the YouTube algorithm. Convergence, 24(1), 69–84. https://doi.org/10.1177/1354856517736978
Seaver, N. (2017). Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society. https://doi.org/10.1177/2053951717738104
Garcia, Megan. (2016). Racist in the Machine: The Disturbing Implications of Algorithmic Bias. World Policy Journal. 33. 111-117. 10.1215/07402775-3813015.
McQuillan, D. Data Science as Machinic Neoplatonism. Philos. Technol. 31, 253–272 (2018).https://doi.org/10.1007/s13347-017-0273-3
Hemment, D., Aylett, R., Belle,. V., Murray-Rust, D., Luger, E., Hillston, J., Rovatsos, M., Broz, F. (2019) Experiential AI. AI Matters (Vol. 5, No.1). ACM New York. (Non-Peer Reviewed Article)
Hemment, D., Belle, V., Aylett, R., Murray-Rust, D., Pschetz, L., Broz, F. (2019). Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI. Leonardo (Vol. 52, No.5). Cambridge, MA: MIT Press. DOI: 10.1162/leon_a_01795. (Editorial)
Hemment, D. (2018). Trust in Invisible Agents. Leonardo (Vol. 51, No.5). Cambridge, MA: MIT Press. DOI: 10.1162/leon_e_01657. (Editorial)
Gracie, A and Lee Yung Rowe, B – Tightening the Loop. presented for the American Association of Artificial Intelligence 2005 – https://www.hostprods.net/s/Tightening_the_Loop.pdf
Websites, Platforms and Other Resources For AI
Ai Assembly | Ai Assembly is a repository of all the work being done in conversation with the question, “What does AI need from us?” BLM – https://aiassembly.io/index.html
AlgorithmWatch (2019) ‘AI Ethics Guidelines Global Inventory’, AlgorithmWatch, 21 June. Available at: https://algorithmwatch.org/en/project/ai-ethics-guidelines-global-inventory/(Accessed: 6 October 2019).
Index of Best AI/Machine Learning Resources. Hackernoon. Originally published by Arun Agrahri on February 23rd 2017. https://tinyurl.com/yb8lg4nk
Resource List on AI (Exhibitions, Conferences, Readings) compiled by Christiane Paul https://sites.google.com/newschool.edu/airesearch/home
Matteo Pasquinelli and Vladan Joler, “The Nooscope Manifested: Artificial Intelligence as Instrument of Knowledge Extractivism”, visual essay, KIM HfG Karlsruhe and Share Lab, 1 May 2020. http://nooscope.ai
Kate Crawford and Vladan Joler, “Anatomy of an AI System: The Amazon Echo As An Anatomical Map of Human Labor, Data and Planetary Resources,” AI Now Institute and Share Lab, (September 7, 2018) https://anatomyof.ai
Col·lectiu Estampa, The Bad Pupil. Critical pedagogy for artificial intelligences (exhibition catalogue – June 2018, Catalan, Spanish, English)
The Showroom, 2013. The Showroom | Andrew Pickering: Cybernetics. [Gallery website] The Showroom. Available at: <http://www.theshowroom.org/events/andrew-pickering-cybernetics> [Accessed 5 Jun. 2016]. (I have a recording of this talk: Micheál O’Connell if you want it)
Transmediale08, 2008. The Chilean Network Experiment: From Poetics To Systemics. [Event website] Transmediale08. Available at: <https://perma.cc/VZN9-PHAN> [Accessed 23 Feb. 2016].
Pask, G., 1968. An approach to cybernetics. 2nd ed. ed. London: Hutchinson.
Joy Buolamwini. “Founder Algorithmic Justice League. www.ajlunited.org | www.poetofcode.com | Telling stories that make daughters of diasporas dream and sons of privilege pause” Buolamwini has authored a number of texts on algorithmic bias of neural net-based computer vision systems, both academic papers and articles in popular press. (She’s also done a Ted talk and a documentary.)
Experiential AI group at University of Edinburgh https://efi.ed.ac.uk/activity-and-partners/experiential-ai/
AI & Arts group at Turing Institute – https://www.turing.ac.uk/research/interest-groups/ai-arts
Brett Wallace, Futures of Work, 2018 – https://futuresofwork.net/
Truckers, 2020, 13 min., 23 sec. Written, produced, and directed by Brett Wallace. Filmed and edited by Brett Wallace and Maral Satari. https://vimeo.com/brettwallace/truckers (password: truckers)
Metacreation Lab for Creative AI: http://metacreation.net/
Kadenze online classes and Generative Art and Computational Creativity:
Kadenze online class: Introduction to Machine Learning for Musicians and Artists https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info
Kadenze Online Class: Creative applications of deep learning with TensorFlow https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info
FutureLearn online class: Apply Creative Machine Learning https://www.futurelearn.com/courses/apply-creative-machine-learning
MIMIC: Make Music and Art with Machine Intelligence (browser-based tools and tutorials) https://mimicproject.com/about
Wekinator: Real-time, interactive, supervised machine learning for creative applications http://www.wekinator.org/
Sound Control: Interactive machine learning for building custom musical interactions for and with kids with disabilities http://soundcontrolsoftware.com/
List of Contributors
Lev Manovich, Patricia de Vries, Ruth catlow, Brad Brace, Tsila Hassine, Eva Pascoe, Chris King, Micheál O’Connell, Anna Dumitriu, Martin Zeilinger, Paula Crutchlow, Max Haarich, Jeremy Hight, Michael Straeubig, Kelly Richardson, Tom Keene, Daniel Rourke, Bill Seaman, Christiane Paul, Amanda McDonald Crowley, Mary Flanagan, Marco Donnarumma, Andrew Gryf Paterson, Bani Brusadin, Joel McKim, Katrina Sluis, Kakūno Gakujutsu, Mar Canet Sola, Rebecca Fiebrink, Alexander Peterhaensel, Pau Waelder, Nathan Jones, Amy Alexander, Drew hemment, Brett Wallace, Philippe Pasquier, Mat Dalgleish.
Main image. Screen : Labeled Faces In The Wild, Gary B. Huang, Manu Ramesh, Tamara Berg, Erik Learned-Miller, 2007. Wall: Cross-Age Celebrity Dataset (CACD) Bor-Chun Chen, Chu-Song Chen, Winston H. Hsu, 2014. Courtesy Fondazione Prada.