A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices
| Autoři | |
|---|---|
| Rok publikování | 2025 |
| Druh | Vyžádané přednášky |
| Fakulta / Pracoviště MU | |
| Citace | |
| Popis | The lecture critically discusses the implications of the development of an emergent form of autonomous vision in different artistic practices. 1. The first part is dedicated to the history of the “birth” of machine vision, illustrating the relationship between physiological models of vision (particularly animal vision) and the automation of perception. Salient moments and political stakes linked to the history of cybernetics and pattern recognition are briefly mentioned. In particular, the lecture points to the links between Jerome Lettvin's 1959 article on frog vision (Lettvin, Maturana, McCulloch, & Pitts, 1959) and Frank Rosenblatt’s report on the Perceptron (Rosenblatt, 1957). 2. The second part outlines how pattern recognition technologies became the basis of Emotional AI and how the engineering and entrepreneurial movement of affective computing (Picard, 1997) is currently reconfiguring the fields of architectural design (smart cities), film production and cultural consumption (analytics). The session concludes with the presentation and collective discussion of a few contemporary artistic works attempting to troubles and contest the taxonomies of emotional recognition technologies and their colonial rationale: The Cleaning of Emotional Data by Elisa Giardina Papa (2020); Training Humans by Kate Crawford and Trevor Paglen (2020); and Vibe Check by Lauren Lee McCarthy & Kyle McDonald. |
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