An Outlook on Tactical AI Art
This paper aims to diversify the existing critical discourse by introducing new perspectives on the poetic, expressive, and ethical features of tactical media art that involves artificial intelligence (AI). It explores diverse artistic approaches and their effectiveness in critiquing the epistemic, phenomenological, and political aspects of AI science and technology. Focusing on the three representative thematic areas—sociocultural, existential, and political—the discussion focuses on the works that exemplify poetic complexity and manifest the ambiguities indicative of a broader milieu of contemporary art, culture, economy, and society. With a closing summary of the major issues and possible directions to address them, the paper shows that tactical AI art provides important insights into the AI-influenced world and has the potential to advance computational arts toward a socially responsible and epistemologically relevant expressive stratum.
Keywords: AI Art, AI Art Critique, Artificial Intelligence, Machine Learning, Tactical AI Art, Tactical Media.
Proceedings of xCoAx 2022, 10th Conference on Computation, Communication, Aesthetics & X. Coimbra, 6-8 July.
Anonymous. 2017. “SHARE Lab: Exploitation Forensics Press Release.” Aksioma – Institute for Contemporary Art website. http://www.aksioma.org/press/exploitation.forensics.zip.
Barbrook, Richard, and Andy Cameron. 1995/2008. “The Californian Ideology.” Mute, (1), 3, Code. http://www.metamute.org/editorial/articles/californian-ideology.
Bishop, Claire. 2012. “Digital Divide: Contemporary Art and New Media.” Artforum, 51, 1: 434–441.
Bogart, Ben. 2021a. “Zombie Formalist 2021–.” Ben Bogart’s website. https://www.ekran.org/ben/portfolio/2021/07/the-zombie-formalist-2021.
Bogart, Ben. 2021b. “The Zombie Formalist: An Art Generator that Learns.” Art Machines 2: International Symposium on Machine Learning and Art Proceedings. School of Creative Media, City University of Hong Kong: 165-166.
Böhlen, Marc. 2005-2008. “Amy and Klara.” Marc Böhlen’s website. https://realtechsupport.org/projects/maledicta.html.
Böhlen, Marc. 2020. “AI Has a Rocket Problem.” Medium, 3 August. https://medium.com/swlh/ai-has-a-rocket-problem-6949c6ed51e8.
Bourriaud, Nicolas. 2002. Relational Aesthetics (translated by Simon Pleasance and Fronza Woods), 14. Paris: Les Presses du Réel.
Buolamwini, Joy, and Timnit Gebru. 2018. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” Proceedings of the 1st Conference on Fairness, Accountability and Transparency 81: 77-91. https://proceedings.mlr.press/v81/buolamwini18a.html.
Burbano, Andrés, and Ruth West, eds. 2020. “AI, Arts & Design: Questioning Learning Machines.” Artnodes, (26): 1-9 (2-3). http://doi.org/10.7238/a.v0i26.3390.
Bureau d’Etudes (Léonore Bonaccini and Xavier Fourt). 2015. “Bureau d’Etudes.” Bureau d’Etudes’ blog. https://bureaudetudes.org.
Crawford, Kate, and Trevor Paglen. 2019. “Excavating AI: The Politics of Training Sets for Machine Learning.” Project website. https://excavating.ai.
Crawford, Kate, and Vladan Joler. 2018. “Anatomy of an AI System.” Project website. https://anatomyof.ai.
Crawford, Kate. 2021. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven and London: Yale University Press.
Curry, Derek, and Jennifer Gradecki. 2020. “Infodemic.” Derek Curry’s website. https://derekcurry.com/projects/infodemic.html.
Disley, Martin. 2021. “How They Met Themselves.” Martin Disley’s website. http://www.martindisley.co.uk/how-they-met-themselves.
Disnovation.org (Nicolas Maigret and Maria Roszkowska). 2021. “The Museum of Failures.” Project website. https://disnovation.org/mof.php.
Eltes, Jonas. 2017. “Lost in Computation.” Jonas Eltes’ website. https://jonaselt.es/projects/lost-in-computation.
Elwes, Jake. 2016. “Machine Learning Porn.” Jake Elwes’ website. https://www.jakeelwes.com/project-mlporn.html Elwes, Jake. 2017. “Closed Loop.” Jake Elwes’ website. https://www.jakeelwes.com/project-closedLoop.html.
Elwes, Jake. 2020. “The Zizi Show.” Jake Elwes’ website. https://www.jakeelwes.com/project-zizi-show.html.
Feingold, Ken. 2021. “Works.” Ken Feingold’s website. https://www.kenfeingold.com.
Fondazione Prada. 2020. “Kate Crawford | Trevor Paglen: Training Humans.” Fondazione Prada website. https://www.fondazioneprada.org/project/training-humans.
Gershgorn, Dave. 2020. “How a 2018 Research Paper Led Amazon, Microsoft, and IBM to Curb Their Facial Recognition Programs.” OneZero Medium website. https://onezero.medium.com/how-a-2018-research-paper-led-to-amazon-and-ibm-curbing-their-facial-recognition-programs-db9d6cb8a420.
Goodwin, Ross. 2015. “Narrated Reality.” Ross Goodwin’s website. https://rossgoodwin.com/narratedreality.
Gradecki, Jennifer, and Derek Curry. 2017. “Crowd-Sourced Intelligence Agency: Prototyping Counterveillance.” Big Data & Society, January–June: 1–7. https://journals.sagepub.com/doi/full/10.1177/2053951717693259.
Gradecki, Jennifer, and Derek Curry. 2021. “Going Viral.” Project website. https://goingviral.art.
Grba, Dejan. 2020. “Alpha Version, Delta Signature: Cognitive Aspects of Artefactual Creativity.” Journal of Science and Technology of the Arts, 12 (3): 63-83. https://doi.org/10.34632/jsta.2020.9491.
Grba, Dejan. 2021. “Brittle Opacity: Ambiguities of the Creative AI.” In M. Verdicchio, M. Carvalhais, L. RIbas, A. Rangel (editors), Proceedings of xCoAx 2021, 9th Conference on Computation, Communication, Aesthetics & X. Porto: 235-260. ISBN: 978-989-9049-06-2. https://doi.org/10.5281/zenodo.5831884.
Grba, Dejan. 2022. “Deep Else: A Critical Framework for AI Art.” MDPI Digital, (2), 1: 1-32. ISSN 2673-6470. https://doi.org/10.3390/digital2010001.
Harvey, Adam, and Jules LaPlace. 2021. “Exposing.ai.” Project website. https://exposing.ai.
Hawkins, Max. 2021. “Randomized Living.” Max Hawkins’ website. https://maxhawkins.me/work/randomized_living.
Heaney, Libby. 2019a. “Resurrection (TOTB).” Libby Heaney’s website. http://libbyheaney.co.uk/resurrection-totb.
Heaney, Libby. 2019b. “Euro(re)vision.” AI Art Gallery website. http://www.aiartonline.com/highlights/libby-heaney-2.
Hobbs, Robert Carleton, and Judith Richards. 2003. Mark Lombardi: Global Networks. Independent Curators International. ISBN 0-916365-67-0.
Joler, Vladan, and Matteo Pasquinelli. 2020. “The Nooscope Manifested.” Project website. https://nooscope.ai.
Jordan, Chris. 2021. “Running the Numbers.” Chris Jordan’s website. http://chrisjordan.com/gallery/rtn.
Kearns, Michael, and Aaron Roth. 2019. The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Oxford: Oxford University Press.
Lanier, Jaron. 2017. Dawn of the New Everything, 143. New York: Henry Holt and Com On, Josh. 2001-2004. “They Rule.” Josh On’s YouTube channel. https://youtu.be/DPLD8uHxdtg.
Lanier, Jaron. 2019. “Gray Area Festival Keynote.” (02:35 - 03:00). Gray Area YouTube channel. https://youtu.be/lsNF4KfmwkY.
Leibowicz, Claire, Emily Saltz, and Lia Coleman. 2021. “Creating AI Art Responsibly: A Field Guide for Artists.” Diseña, 19 (September), Article 5. https://doi.org/10.7764/disena.19.Article.5. https://www.partnershiponai.org/wp-content/uploads/2020/09/Partnership-on-AI-AI-Art-Field-Guide.pdf.
Lovink, Geert, and Ned Rossiter. 2005. “Dawn of the Organised Networks.” Nettime, (October 17).
Lyons, Michael J. 2020. “Excavating ‘Excavating AI’: The Elephant in the Gallery.” ACM ArXiv Preprint, September, (arXiv:2009.01215). https://doi.org/10.5281/zenodo.4391458.
Lyons, Michael J. 2021. “‘Excavating AI’ Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset.” Preprint, 28 July. https://doi.org/10.5281/zenodo.5140556 / https://arxiv.org/abs/2107.13998.
Marcus, Gary F., and Ernest Davis. 2019. Rebooting AI: Building Artificial Intelligence We Can Trust. New York: Pantheon Books.
McQuillan, Dan. 2018. “Manifesto on Algorithmic Humanitarianism.” Reimagining Digital Humanitarianism. London: Goldsmiths, University of London. https://www.researchgate.net/publication/323689097_The_Manifesto_on_Algorithmic_Humanitarianism.
Mitchell, Melanie. 2019. Artificial Intelligence: A Guide for Thinking Humans. Kindle edition. New York: Farrar, Straus and Giroux.
Moll, Joana. 2020. “Joana Moll.” Joana Moll’s website. http://www.janavirgin.com/index.html.
Orcutt, Mike. 2016. “Are Face Recognition Systems Accurate? Depends on Your Race.” MIT Technology Review website, 6 July. https://www.technologyreview.com/2016/07/06/158971/are-face-recognition-systems-accurate-depends-on-your-race.
Pasquinelli, Matteo. 2019. “How a Machine Learns and Fails—A Grammar of Error for Artificial Intelligence.” Spheres—Journal for Digital Cultures, 5: 1-17. https://spheres-journal.org/wp-content/uploads/spheres-5_Pasquinelli.pdf.
Petrić, Maja. 2017. “Lost Skies.” Maja Petrić’s website. https://www.majapetric.com/lost-skies.
Posters, Bill, and Daniel Howe. 2021. “Big Dada: Public Faces.” Bill Posters’ website. http://billposters.ch/projects/big-dada.
Quaranta, Domenico. 2020. “Between Hype Cycles and the Present Shock: Art at the End of the Future.” DOC#6. Nero Publications. https://www.neroeditions.com/docs/between-hype-cycles-and-the-present-shock.
Quaranta, Domenico. 2021. Surfing con Satoshi: Arte, blockchain e NFT. Milano: Postmedia Books.
Quévillon, François. 2019. “Algorithmic Drive.” François Quévillon’s website. http://francois-quevillon.com/w/?p=1466.
Raley, Rita. 2009. Tactical Media, 1-30. Minneapolis: University of Minnesota Press.
Richardson, Matt. 2012. “Descriptive CameraTM.” Matt Richardson’s website. http://mattrichardson.com/Descriptive-Camera/index.html.
Ridler, Anna. 2019. “Mosaic Virus.” Anna Ridler’s website. http://annaridler.com/mosaic-virus.
Robinson, Walter. 2014. “Flipping and the Rise of Zombie Formalism.” Artspace. https://www.artspace.com/magazine/contributors/see_here/the_rise_of_zombie_formalism-52184.
Schmieg, Sebastian. 2016. “Decision Space.” Sebastian Schmieg’s website. https://sebastianschmieg.com/decision-space.
Schmieg, Sebastian. 2017. “This is the Problem, the Solution, the Past and the Future.” Sebastian Schmieg’s website. https://sebastianschmieg.com/this-is-the-problem-the-solution-the-past-and-the-future.
Schmieg, Sebastian. 2018. “Decisive Camera.” Sebastian Schmieg’s website. https://sebastianschmieg.com/decisive-camera.
Schmieg, Sebastian. 2019. “Decisive Mirror.” Sebastian Schmieg’s website. https://sebastianschmieg.com/decisive-mirror.
Selvaggio, Leonardo. 2021. “Apologize to America.” Leonardo Selvaggio’s website. http://leoselvaggio.com/new-page.
Shinseungback Kimyonghun. 2019. “Mind.” Shinseungback Kimyonghun’s website. http://ssbkyh.com/works/mind.
Snell, Ben. 2020. “Inheritance.” Ben Snell’s website. http://bensnell.io/inheritance-ii.
Taylor, Grant D. 2014. When the Machine Made Art: The Troubled History of Computer Art. New York and London: Bloomsbury Press.
Tokui, Nao. 2018a. “Imaginary Landscape.” Nao Tokui’s website. https://naotokui.net/projects/imaginary-landscape-2018.
Tokui, Nao. 2018b. “Imaginary Soundwalk.” Nao Tokui’s website. https://naotokui.net/projects/imaginary-soundwalk-2018.
Wang, Panqu, and Garrison W. Cottrell. 2017. “Central and Peripheral Vision for Scene Recognition: A Neurocomputational Modeling Exploration.” Journal of Vision, 17, (4):9: 1-22. doi:10.1167/17.4.9.
Wilson, Stephen. 2002. Information Arts: Intersections of Art, Science and Technology, 786-811. Cambridge: MIT Press.
Wischnewski, Miles, and Marius V. Peelen. 2021. “Causal Neural Mechanisms of Context-Based Object Recognition.” eLife, 10, e69736.
Zeilinger, Martin. 2021. Tactical Entanglements: AI Art, Creative Agency, and the Limits of Intellectual Property. Lüneburg: meson press.
Zhao, Jieyu, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017. “Men Also Like Shopping: Reducing Gender Bias Amplification Using Corpus-Level Constraints.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: 2979-2989. https://doi.org/10.18653/v1/D17-1323.
Żylińska, Joanna. 2020. AI Art: Machine Visions and Warped Dreams. London: Open Humanities Press.