Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Image synthesis from an ethical perspective

Bibliographic Data

ID20399131
AuthorsOliver Bendel (0000-0003-2623-9119, FHNW University of Applied Sciences and Arts Northwestern Switzerland, corresponding author)
Year2025
Volume40
Issue2
Pages437-446
Publication date2025-02-01
Open AccessYes
TypeARTICLE
VenueAI & Society (JOURNAL)
Journal identifiersISSN: 0951-5666 • E-ISSN: 1435-5655
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00146-023-01780-4
OpenAlexW4387106398
LanguageEN
Citations received6
References cited12

Generative AI has gained a lot of attention in society, business, and science. This trend has increased since 2018, and the big breakthrough came in 2022. In particular, AI-based text and image generators are now widely used. This raises a variety of ethical issues. The present paper first gives an introduction to generative AI and then to applied ethics in this context. Three specific image generators are presented: DALL-E 2, Stable Diffusion, and Midjourney. The author goes into technical details and basic principles, and compares their similarities and differences. This is followed by an ethical discussion. The paper addresses not only risks, but opportunities for generative AI. A summary with an outlook rounds off the article

Art · Engineering ethics · Epistemology · Generative grammar · Performing arts · Sociology · Visual arts · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Explainable Artificial Intelligence (XAI · Generative Adversarial Networks and Image Synthesis · History · Philosophy · Artificial Intelligence

  • Aiming to Enhance Higher Education Practice Through Generative AI Integration

    Open Access•Junbin Wang, Chuanbo Zhang et al.•SAGE Open•2025

  • Generating conceptual landscape design via text-to-image generative AI model

    Open Access•Xinyue Ye, Tianchen Huang et al.•Environment and Planning B Urban…•2025

  • From synthetic faces to synthetic selves

    Open Access•Minsung Michael Kang, Minsung Kang et al.•AI & Society•2026

  • Algorithmic bias in image-generating artificial intelligence

    Open Access•Tanja Messingschlager, M Appel•Information Communication & Society•2026

  • Deciphering authenticity in the age of AI

    Open Access•Aqsa Farooq, Claes H De Vreese et al.•AI & Society•2026

  • The governance of AI-generated pornography platforms

    Open Access•Valérie Lapointe, Simon Dubé et al.•New Media & Society•2026

  • Moral Machines

    Wendell Wallach, Colin Allen•Moral machines•2009

  • Ethics of generative AI

    Hazem Zohny, John Mcmillan et al.•Journal of Medical Ethics•2023

  • What Does Women’s Facial Attractiveness Signal? Implications for an Evolutionary Perspective on Appearance Enhancement

    Open Access•Bartlett C Jones, Alisha Lola Jones et al.•Archives of Sexual Behavior•2022

Citations per year6
Citation span2025 - 2026 (2)
Highly citedNo

Tools

Open DOIOpen Access
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