A Scanner Darkly: Machine Vision and Emotional AI in Artistic
Practices

p 2025

A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices

FORNACCIARI, Ilaria

Základní údaje

Originální název

A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices

Autoři

FORNACCIARI, Ilaria

Vydání

Digital Art Histories Today: from AI to the Web Archive, 2025

Další údaje

Typ výsledku

Vyžádané přednášky

Utajení

není předmětem státního či obchodního tajemství

Označené pro přenos do RIV

Organizační jednotka

Filozofická fakulta

Klíčová slova anglicky

machine vision; connectionist AI; AI and Art; cybernetics; pattern recognition; affective computing; emotion AI

Změněno: 12. 11. 2025 09:57, Ilaria Fornacciari, PhD.

Anotace

V originále

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.

Návaznosti

GX23-05692X, projekt VaV

Název: Roboti, programování člověka a autismus/Kulturní imaginace autismu a emoční umělé inteligence

Investor: Grantová agentura ČR, Roboti, programování člověka a autismus/Kulturní imaginace autismu a emoční umělé inteligence

Citovat

FORNACCIARI, Ilaria. A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices. In Digital Art Histories Today: from AI to the Web Archive. 2025.

@misc{2526580,
   author = {Fornacciari, Ilaria},
   booktitle = {Digital Art Histories Today: from AI to the Web Archive},
   keywords = {machine vision; connectionist AI; AI and Art; cybernetics; pattern recognition; affective computing; emotion AI},
   title = {A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices},
   year = {2025}
}

TY  - SLIDE
ID  - 2526580
AU  - Fornacciari, Ilaria
PY  - 2025
TI  - A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices
KW  - machine vision
KW  - connectionist AI
KW  - AI and Art
KW  - cybernetics
KW  - pattern recognition
KW  - affective computing
KW  - emotion AI
N2  - 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.
ER  -

FORNACCIARI, Ilaria. A Scanner Darkly: Machine Vision and Emotional AI in Artistic Practices. In \textit{Digital Art Histories Today: from AI to the Web Archive}. 2025.

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