Have a personal or library account? Click to login
Desire and Data: Metabolism of AI Cover
By: Vadim Epstein  
Open Access
|Dec 2025

References

  1. Acemoglu, Daron; Autor, David; Hazell, Jonathon; Restrepo, Pascual 2022. “Artificial Intelligence and Jobs: Evidence from Online Vacancies.” Journal of Labor Economics 40, no. S1 (2022): S293-S340. https://doi.org/10.1086/718327.
  2. Agamben, Giorgio 2009. What Is an Apparatus? And Other Essays. Stanford: Stanford University Press. https://doi.org/10.1515/9781503600041.
  3. Alemohammad, Sina; Casco-Rodriguez, Josue; Luzi, Lorenzo; Humayun, Ahmed Imtiaz; Babaei, Hossein; LeJeune, Daniel; Siahkoohi, Ali; Baraniuk, Richard 2024. “Self-Consuming Generative Models Go MAD.” In Proceedings of the International Conference on Learning Representations (ICLR 2024). https://openreview.net/forum?id=ShjMHfmPs0.
  4. Beaty, Roger E.; Silvia, Paul J.; Nusbaum, Emily C.; Jauk, Emanuel; Benedek, Mathias 2014. “The Roles of Associative and Executive Processes in Creative Cognition.” Memory & Cognition 42 (7): 1186–1197. https://doi.org/10.3758/s13421-014-0428-8.
  5. Beer, Stafford 1972. Brain of the Firm: The Managerial Cybernetics of Organization. London: Allen Lane.
  6. Belkin, Mikhail; Hsu, Daniel; Ma, Siyuan; Mandal, Soumik 2019. “Reconciling modern machine learning practice and the bias-variance trade-off”. Proceedings of the National Academy of Sciences, 116(32), 15849–15854. https://doi.org/10.1073/pnas.1903070116.
  7. Bellio, Naiara; Kayser-Bril, Nicolas 2023. “Some Image Generators Produce More Problematic Stereotypes than Others, but All Fail at Diversity.” AlgorithmWatch. Accessed August 12, 2025. https://algorithmwatch.org/en/image-generators-stereotypes-diversity.
  8. Bianchi, Federico; Kalluri, Pratyusha; Durmus, Esin; Ladhak, Faisal; Cheng, Myra; Nozza, Debora; Hashimoto, Tatsunori; Jurafsky, Dan; Zou, James; Caliskan, Aylin 2023. “Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.” In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 1493–1504. https://doi.org/10.1145/3593013.3594095.
  9. Boden, Margaret A. 2004. The Creative Mind: Myths and Mechanisms. 2nd ed. London: Routledge. https://doi.org/10.4324/9780203508527.
  10. Bolt, Barbara 2007. “The Magic Is in Handling.” In Practice as Research: Approaches to Creative Arts Enquiry, edited by E. Barrett and B. Bolt, 27–34. London: I.B. Tauris.
  11. Broad, Terence; Berns, Sebastian; Colton, Simon; Grierson, Mick 2021. “Active Divergence with Generative Deep Learning – A Survey and Taxonomy.” In Proceedings of the 12th International Conference on Computational Creativity (ICCC ‘21), 227–236. Association for Computational Creativity. https://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_43.pdf.
  12. Bucher, Taina 2018. If...Then: Algorithmic Power and Politics. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780190493028.001.0001.
  13. Buick, Adam 2025. “Copyright and AI training data – transparency to the rescue?” Journal of Intellectual Property Law & Practice 20, no. 3 (2025): 182–192. https://doi.org/10.1093/jiplp/jpae102.
  14. Cartagena, Alejandro 2023. “In Conversation: Roope Rainisto on Post-photography and REWORLD.” Post Photographic Perspectives (blog). Accessed August 12, 2025. https://postphotography.xyz/ppp1/in-conversation.
  15. Colton, Simon; Wiggins, Geraint A. 2012. “Computational Creativity: The Final Frontier?” In Proceedings of the 20th European Conference on Artificial Intelligence, 21-26. Amsterdam: IOS Press. https://doi.org/10.3233/978-1-61499-098-7-21.
  16. Computer Vision Art Gallery 2019. “(un)stable equilibrium 1:1.” ICCV 2019 Computer Vision Art Gallery. Accessed August 12, 2025. https://computervisionart.com/pieces2019/unstable-equilibrium.
  17. Computer Vision Art Galler. 2021. “Aphantasia.” CVPR 2021 Computer Vision Art Gallery, March 1, 2021. Accessed August 12, 2025. https://computervisionart.com/pieces2021/aphantasia.
  18. Crowson, Katherine; Biderman, Stella; Kornis, Daniel; Stander, Dashiell; Hallahan, Eric; Castricato, Louis; Raff; Edward 2022. “VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance.” In Computer Vision – ECCV 2022, 88–105. Lecture Notes in Computer Science, vol. 13697. Cham: Springer. https://doi.org/10.1007/978-3-031-19836-6_6.
  19. Epstein, Vadim 2021. Aphantasia. GitHub repository. Accessed August 12, 2025. https://github.com/eps696/aphantasia.
  20. Epstein, Vadim 2025. Assembly. Artist website. Accessed August 12, 2025. https://wesual.art/assembly.
  21. Epstein, Ziv; Hertzmann, Aaron; Investigators of Human Creativity, Akten, Memo; Farid, Hany; Fjeld, Jessica; Frank, Morgan R., et al. 2023. “Art and the Science of Generative AI.” Science 380, no. 6650 (2023): 1110–1111. https://doi.org/10.1126/science.adh4451.
  22. FITC 2023. “Gene Kogan.” FITC Speaker Profile, April 2023. Accessed August 2025. https://fitc.ca/speaker/gene-kogan/?event=33481%2F.
  23. Flusser, Vilém (1983) 2011. Towards a Philosophy of Photography. London: Reaktion Books.
  24. Flusser, Vilém (1985) 2014. Into the Universe of Technical Images. Minneapolis: University of Minnesota Press. https://doi.org/10.5749/minnesota/9780816670208.003.0021.
  25. Gillespie, Tarleton 2018. Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media. New Haven, CT: Yale University Press. http://doi.org/10.12987/9780300235029.
  26. Gofman, Michael; Jin, Zhao 2024. “Artificial Intelligence, Education, and Entrepreneurship.” The Journal of Finance 79, no. 1 (2024): 631–667.
  27. Gray, Carole; Malins, Julian 2004. Visualizing Research: A Guide to the Research Process in Art and Design. Aldershot: Ashgate. https://doi.org/10.1017/S0307472200014498.
  28. Guljajeva, Varvara; Canet Sola, Mar 2025. “A Needle in a Haystack. “ SocArXiv. May 23. https://doi.org/10.31235/osf.io/5sn67_v1.
  29. Hertzmann, Aaron 2018. “Can Computers Create Art?” Arts 7 (2): 18. https://doi.org/10.3390/arts7020018.
  30. Klingemann, Mario; Hudson, Simon; Epstein, Zivvy 2022. “Botto: A Decentralized Autonomous Artist.” In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). https://neuripscreativityworkshop.github.io/2022/papers/ml4cd2022_paper13.pdf.
  31. Kogan, Gene 2019. “Artist in the Cloud: Towards an Autonomous Artist.” In NeurIPS Machine Learning for Creativity and Design Workshop, December 14, 2019, Vancouver, Canada.
  32. Kogan, Gene 2023. “Provenance for Generative AI.” Medium (blog). Accessed August 12, 2025. https://medium.com/@genekogan/provenance-on-eden-d80dacce572a.
  33. Krapp, Peter 2011. Noise Channels: Glitch and Error in Digital Culture. Minneapolis: University of Minnesota Press. https://doi.org/10.5749/minnesota/9780816676248.001.0001.
  34. Maturana, Humberto R.; Varela, Francisco J. 1980. Autopoiesis and Cognition: The Realization of the Living. Dordrecht: D. Reidel Publishing Company. https://doi.org/10.1007/978-94-009-8947-4.
  35. Menkman, Rosa 2011. The Glitch Moment(um). Amsterdam: Institute of Network Cultures. http://doi.org/10.25969/mediarep/19296.
  36. Paglen, Trevor 2019. “Invisible images: Your pictures are looking at you.” Architectural Design, 89(1), pp. 22–27. https://doi.org/10.1002/ad.2383.
  37. Pariser, Eli 2011. The Filter Bubble: What the Internet Is Hiding from You. New York: Penguin Press.
  38. Park, Joon Sung; O’Brien, Joseph; Cai, Carrie Jun; Morris, Meredith Ringel; Liang, Percy; Bernstein, Michael S. 2023. “Generative Agents: Interactive Simulacra of Human Behavior.” In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ‘23). ACM. https://doi.org/10.1145/3586183.3606763.
  39. Paul, Christiane 2023. Digital Art. 4th ed. London: Thames & Hudson.
  40. Radford, Alec; Kim, Jong Wook; Hallacy, Chris; Ramesh, Aditya; Goh, Gabriel; Agarwal, Sandhini; Sastry, Girish et al. 2021. “Learning Transferable Visual Models from Natural Language Supervision.” In Proceedings of the 38th International Conference on Machine Learning, 8748–8763. PMLR. http://proceedings.mlr.press/v139/radford21a.html.
  41. Rao, Venkatesh 2023. “A Camera, Not an Engine.” Contraptions (blog). Accessed August 12, 2025. https://contraptions.venkateshrao.com/p/a-camera-not-an-engine.
  42. Rao, Venkatesh 2024. “Imagination vs. Creativity.” Ribbonfarm Studio (blog). Accessed August 12, 2025. https://ribbonfarm.com/2024/07/14/imagination-vs-creativity.
  43. Richardson, Elad; Goldberg, Kfir; Alaluf, Yuval; Cohen-Or, Daniel 2024. “ConceptLab: Creative Concept Generation Using VLM-Guided Diffusion Prior Constraints.” ACM Transactions on Graphics 43 (3): Article 34. https://doi.org/10.1145/3659578.
  44. Rorvig, Mordechai 2021. “AI-Generated Art Scene Explodes as Hackers Create Groundbreaking New Tools.” VICE. Accessed August 12, 2025. https://vice.com/en/article/ai-generated-art-scene-explodes-as-hackers-create-groundbreaking-new-tools.
  45. Runco, Mark A.; Jaeger, Garrett J. 2012. “The Standard Definition of Creativity.” Creativity Research Journal 24 (1): 92–96. https://doi.org/10.1080/10400419.2012.650092.
  46. Russell, Legacy 2020. Glitch Feminism: A Manifesto. London: Verso Books.
  47. Simondon, Gilbert 2017. On the Mode of Existence of Technical Objects. Minneapolis: University of Minnesota Press.
  48. Steinfeld, Kyle 2023. “Clever Little Tricks: A Socio-Technical History of Text-to-Image Generative Models.” International Journal of Architectural Computing 21(2): 211–241. https://doi.org/10.1177/14780771231168230.
  49. Sullivan, Graeme 2005. Art Practice as Research: Inquiry in the Visual Arts. Thousand Oaks, CA: Sage Publications.
  50. Swanson, Steph Maj 2022. Loab: The AI Cryptid (blog). Accessed August 12, 2025. https://loab.ai.
  51. Thompson, Evan. 2007. Mind in Life: Biology, Phenomenology, and the Sciences of Mind. Cambridge, MA: Harvard University Press.
  52. Varela, Francisco J.; Thompson, Evan; Rosch, Eleanor 1991. The Embodied Mind: Cognitive Science and Human Experience. Cambridge, MA: MIT Press. https://doi.org/10.7551/mitpress/6730.001.0001.
  53. Von Bertalanffy, Ludwig 1968. General System Theory: Foundations, Development, Applications. New York: George Braziller.
  54. Vygotsky, Lev Semenovich (1930) 2004. “Imagination and Creativity in Childhood.” Translated by M. E. Sharpe. Journal of Russian & East European Psychology 42 (1): 7–97. https://doi.org/10.1080/10610405.2004.11059210.
  55. Wiener, Norbert 1948. Cybernetics: Or Control and Communication in the Animal and the Machine. Cambridge, MA: MIT Press.
  56. Winkler, Christoph 2025. “Whispers of Wood: A Prompt-based Dance Piece.” Company Christoph Winkler (blog). Accessed August 12, 2025. https://christoph-winkler.com/en/productions/whispers-of-wood.
  57. Zhou, Kaiyang; Liu, Ziwei; Qiao, Yu; Xiang, Tao; Loy, Chen Change 2021. “Domain Generalization: A Survey.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9): 5396-5415. https://doi.org/10.1109/TPAMI.2022.3195549.
  58. Zuboff, Shoshana 2019. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs.
Language: English
Page range: 22 - 49
Published on: Dec 23, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Vadim Epstein, published by Tallinn University Baltic Film, Media, Arts and Communication School
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.