Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Creativity reimagined

Ethical authorship, ownership and social impact of AI-generated art

Bibliographic Data

ID8246136
AuthorsAnanya Singh (0000-0002-7271-7866)
Year2026
Volume24
Issue2
Pages250-263
Publication date2026-03-25
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Information Communication and Ethics in Society (JOURNAL)
Journal identifiersISSN: 1758-8871 • E-ISSN: 1477-996X
PublisherEmerald (PUBLISHER)
DOI10.1108/jices-06-2025-0137
OpenAlexW4415140203
LanguageEN
References cited24

Purpose This study aims to test whether artists and technologists evaluate artificial intelligence (AI)-generated art differently with respect to authorship, ownership, ethics, public perception and market impact, thereby clarifying how creative and technical stakeholders view emerging copyright and pricing debates. Design/methodology/approach A closed-ended questionnaire using five-point Likert items was administered to 119 master-level artists and 119 AI developers in India. Paired-sample t-tests compared the two groups across six constructs derived from the recent literature. Findings Authorship and market-impact scores did not differ significantly (p = 0.229; p = 0.168). However, large gaps emerged for ownership (Δ = 1.02; t = 15.31; p < 0.001) and public perception (Δ = 1.24; t = 11.25; p < 0.001). Artists favored limited copyright and lower prices for AI art, whereas technologists endorsed full protection and price parity under defined conditions. Both groups supported minimal yet dedicated regulation. Research limitations/implications Findings are based on self-reported perceptions from a single country; cross-cultural replication is needed. Practical implications Results inform policymakers drafting adaptive copyright frameworks and gallery curators setting valuation benchmarks for AI-generated art. Social implications Balanced regulation and weighted authorship could preserve human creativity while legitimizing algorithmic contributions. Originality/value This is the first paired statistical investigation that juxtaposes creative practitioners and AI developers, quantifies their attitudinal distance and links the results to the legal triad of fixation, originality and creativity. The Global South sample broadens a debate dominated by Western case studies

Creativity · Likert scale · Originality · Perception · Valuation (finance · Aesthetic Perception and Analysis · Innovation, Sustainability, Human-Machine Systems · Virtual Reality Applications and Impacts

  • Art, Creativity, and the Potential of Artificial Intelligence

    Open Access•Marco Mazzone, Ahmed Elgammal•Arts•2019

  • Artificial Aesthetics and Ethical Ambiguity

    Open Access•Cheng Xu, Yanqi Sun et al.•Journal of Business Ethics•2025

  • Rethinking creativity

    Open Access•Hye-Kyung Lee•Media Culture & Society•2022

  • Painting in gray

    Open Access•Joshua Cunningham•Journal of Information…•2025

  • AI as an Artist? A Two-Wave Survey Study on Attitudes Toward Using Artificial Intelligence in Art

    Open Access•Rita Latikka, Jenna Bergdahl et al.•Poetics•2023

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae