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On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art

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Title
On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art
Author(s)
Gabriel Lima; Assem Zhunis; Manovich, Lev; Meeyoung Cha
Publication Date
2021-08
Journal
Frontiers in Robotics and AI, v.8
Publisher
Frontiers Media S.A.
Abstract
The moral standing of robots and artificial intelligence (AI) systems has become a widely debated topic by normative research. This discussion, however, has primarily focused on those systems developed for social functions, e.g., social robots. Given the increasing interdependence of society with nonsocial machines, examining how existing normative claims could be extended to specific disrupted sectors, such as the art industry, has become imperative. Inspired by the proposals to ground machines’ moral status on social relations advanced by Gunkel and Coeckelbergh, this research presents online experiments (∑N = 448) that test whether and how interacting with AI-generated art affects the perceived moral standing of its creator, i.e., the AI-generative system. Our results indicate that assessing an AI system’s lack of mind could influence how people subsequently evaluate AI-generated art. We also find that the overvaluation of AI-generated images could negatively affect their creator’s perceived agency. Our experiments, however, did not suggest that interacting with AI-generated art has any significant effect on the perceived moral standing of the machine. These findings reveal that social-relational approaches to AI rights could be intertwined with property-based theses of moral standing. We shed light on how empirical studies can contribute to the AI and robot rights debate by revealing the public perception of this issue.
URI
https://pr.ibs.re.kr/handle/8788114/11024
DOI
10.3389/frobt.2021.719944
ISSN
2296-9144
Appears in Collections:
Pioneer Research Center for Mathematical and Computational Sciences(수리 및 계산과학 연구단) > Data Science Group(데이터 사이언스 그룹) > 1. Journal Papers (저널논문)
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