Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience

Fuente: arXiv
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Autores principales: Lima, Gabriel, Grgić-Hlača, Nina, Redmiles, Elissa
Formato: Preprint
Publicado: 2024
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author Lima, Gabriel
Grgić-Hlača, Nina
Redmiles, Elissa
author_facet Lima, Gabriel
Grgić-Hlača, Nina
Redmiles, Elissa
contents Breakthroughs in generative AI (GenAI) have fueled debates concerning the artistic and legal status of AI-generated creations. We investigate laypeople's perceptions ($N$$=$$432$) of AI-generated art through the lens of copyright law. We study lay judgments of GenAI images concerning several copyright-related factors and capture people's opinions of who should be the authors and rights-holders of AI-generated images. To do so, we held an incentivized AI art competition in which some participants used a GenAI model to create art while others evaluated these images. We find that participants believe creativity and effort, but not skills, are needed to create AI-generated art. Participants were most likely to attribute authorship and copyright to the AI model's users and to the artists whose creations were used for training. We find evidence of egocentric effects: participants favored their own art with respect to quality, creativity, and effort -- particularly when these assessments determined real monetary awards.
format Preprint
id arxiv_https___arxiv_org_abs_2407_10546
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience
Lima, Gabriel
Grgić-Hlača, Nina
Redmiles, Elissa
Computers and Society
Human-Computer Interaction
Breakthroughs in generative AI (GenAI) have fueled debates concerning the artistic and legal status of AI-generated creations. We investigate laypeople's perceptions ($N$$=$$432$) of AI-generated art through the lens of copyright law. We study lay judgments of GenAI images concerning several copyright-related factors and capture people's opinions of who should be the authors and rights-holders of AI-generated images. To do so, we held an incentivized AI art competition in which some participants used a GenAI model to create art while others evaluated these images. We find that participants believe creativity and effort, but not skills, are needed to create AI-generated art. Participants were most likely to attribute authorship and copyright to the AI model's users and to the artists whose creations were used for training. We find evidence of egocentric effects: participants favored their own art with respect to quality, creativity, and effort -- particularly when these assessments determined real monetary awards.
title Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience
topic Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2407.10546