AI MEMO AKTEN’S LEARNING TO SEE AND THE ANTHROPOMORPHISING SHAPES OF AI
Piotr Celiński
AI MEMO AKTEN’S LEARNING TO SEE AND THE ANTHROPOMORPHISING SHAPES OF AI
Marcin Składanek
MEMO AKTEN – FROM GENERATIVE ART TO DEEP LEARNING AS A MEDIUM OF CREATION
1QBN Sessions presents Joshua Davis, 2007, <https://www.youtube.com/watch?v=2rCO4pcFsfw> [dostęp: 12.02.2026].
2Por. P. Galanter, What is generative art? Complexity theory as a context for art theory, w: Proceedings of the Sixth International Conference on Generative Art and Design, red. C. Soddu, Milan 2003, <http://philipgalanter.com/downloads/ga2003_what_is_genart.pdf> [dostęp: 12.02.2026]; J. McCormack, O. Bown, A. Dorin, J. McCabe, G. Monro, M. Whitelaw, Ten questions concerning generative computer art, „Leonardo” 2014, t. 47, nr 2, s. 135–141.
3 A.M. Noll, The Digital Computer as a Creative Medium, „IEEE Spectrum” 1967, t. 4, nr 10, s. 89.
4Strategie te można m.in. określić jako strategie eksperymentatora, krytyka czy ogrodnika; por. M. Składanek, Sztuka generatywna. Metody i praktyki, Łódź 2017.
5Por. L. Manovich, E. Arielli, Artificial Aesthetics: Generative AI, Art and Visual Media, 2024, <https://manovich.net/index.php/projects/artificial‑aesthetics> [dostęp: 20.02.2026]; P. Zawojski, Cztery eseje o kulturze i sztuce w epoce AI, Katowice 2025.
6Z. Epstein i in. [m.in. Memo Akten], Art and the science of generative AI, „Science” 2023, t. 380, nr 6650.
7 M.S. Akten, Deep visual instruments: Realtime continuous, meaningful human control over deep neural networks for creative expression, rozprawa doktorska, Goldsmiths, University of London, 2021, s. 29.
8P. Scharre, M.C. Horowitz, Meaningful human control in weapon systems: A primer, Washington D.C. 2015.
9 M.A. Boden, The creative mind: Myths and mechanisms, London–New York 2004.
10 N.J. Paik, Versatile video synthesizer (1969), cyt. za: M.S. Akten, dz. cyt., s. 34.
11N. Wiener, Cybernetics: Or control and communication in the animal and the machine, Cambridge (MA) 1948.
12M. Akten, R. Fiebrink, M. Grierson, Learning to see: You are what you see, w: ACM SIGGRAPH 2019 Art Gallery, New York 2019.
13L. Gitelman, Raw data is an oxymoron, Cambridge, MA 2013.
14M. Akten, R. Fiebrink, M. Grierson, Deep meditations: Controlled navigation of latent space, w: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design, Montreal, Canada, 8 December 2018.
Bibliografia
- Akten M., Deep visual instruments: Realtime continuous, meaningful human control over deep neural networks for creative expression, rozprawa doktorska, Goldsmiths, University of London 2021.
- Akten M., Fiebrink R., Grierson M., Deep meditations: Controlled navigation of latent space, w: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design, Montreal, Canada, 8 December 2018.
- Akten M., Fiebrink R., Grierson M., Learning to see: You are what you see, w: ACM SIGGRAPH 2019 Art Gallery, New York 2019.
- Boden M.A., The creative mind: Myths and mechanisms, London–New York 2004.
- Epstein Z. i in., Art and the science of generative AI, „Science” 2023, t. 380, nr 6650.
- Galanter P., What is generative art? Complexity theory as a context for art theory, w: Proceedings of the Sixth International Conference on Generative Art and Design, red. C. Soddu, Milan 2003, <http://philipgalanter.com/downloads/ga2003_what_is_genart.pdf> [dostęp: 12.02.2026].
- Gitelman L., Raw data is an oxymoron, Cambridge (MA) 2013.
- Manovich L., Arielli E., Artificial aesthetics: Generative AI, art and visual media, 2024, <https://manovich.net/index.php/projects/artificial‑aesthetics> [dostęp: 20.02.2026].
- McCormack J., Bown O., Dorin A., McCabe J., Monro G., Whitelaw M., Ten questions concerning generative computer art, „Leonardo” 2014, t. 47, nr 2.
- Noll A.M., The digital computer as a creative medium, „IEEE Spectrum” 1967, t. 4, nr 10.
- QBN Sessions presents Joshua Davis, 2007, <https://www.youtube.com/watch?v=2rCO4pcFsfw> [dostęp: 12.02.2026].
- Scharre P., Horowitz M.C., Meaningful human control in weapon systems: A primer, Washington D.C. 2015.
- Składanek M., Sztuka generatywna. Metody i praktyki, Łódź 2017.
- Wiener N., Cybernetics: Or control and communication in the animal and the machine, Cambridge, MA 1948.
- Zawojski P., Cztery eseje o kulturze i sztuce w epoce AI, Katowice 2025.
Marcin Składanek
PhD, a professor of the University of Lodz, works at the Department of New Media and Digital Culture. His research interests focus on interaction design and user experience, design theory, generative art, creative coding, data visualisation and artificial intelligence. He is the author of Sztuka generatywna. Metoda i praktyki (2017). Also active as an application designer and programmer.
ORCID: 0000‑0003‑0622‑1499
