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ARTICLE

Computer vision in tactical artificial intelligence art

Dejan Grba1*
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1 Digital Art Program, Interdisciplinary Graduate Center, University of the Arts, Belgrade, Serbia
AC 2024, 2(3), 2282 https://doi.org/10.36922/ac.2282
Submitted: 20 November 2023 | Accepted: 17 May 2024 | Published: 13 August 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Artificial intelligence (AI) art comprises a spectrum of creative endeavors that emerge from and respond to the development of AI, the expansion of AI-powered economies, and their influence on culture and society. Within this repertoire, the relationship between the cognitive value of human vision and the wide application range of computer vision (CV) technologies opens a sizeable space for exploring the problematic sociopolitical aspects of automated inference and decision-making in modern AI. This paper examines art practices critically engaged with the notions and protocols of CV. After identifying and contextualizing CV-related tactical AI art, we discuss the features of exemplar artworks in four interrelated subject areas. Their topical overlaps, common critical points, and shared pitfalls plot a wider landscape of tactical AI art, allowing us to detect factors that affect its poetic cogency, social responsibility, and political impact, some of which are rooted in the theoretical premises of digital art activism. Along these lines, the paper outlines the routes for addressing the challenges and advancing the field.

Keywords
Artificial intelligence
Biometric AI
Computational art
Computer vision
Machine vision
Tactical AI art
Taxonomic imaging
Funding
None.
Conflict of interest
The author declares that he has no competing interests.
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