Bibliographic Details
| Title: |
Artificial Aesthetics and Ethical Ambiguity: Exploring Business Ethics in the Context of AI-driven Creativity. |
| Authors: |
Xu, Cheng1 (AUTHOR) Cheng.Xu@xjtlu.edu.cn, Sun, Yanqi2 (AUTHOR) yanqi.sun@bipt.edu.cn, Zhou, Haibo3 (AUTHOR) Haibo.Zhou@nottingham.edu.cn |
| Source: |
Journal of Business Ethics. Jul2025, Vol. 199 Issue 4, p671-692. 22p. |
| Subject Terms: |
*BUSINESS ethics, *ARTIFICIAL intelligence, ARTIFICIAL intelligence & ethics, ARTISTIC creation, AMBIGUITY, AESTHETICS, CREATIVE ability, ARTISTS |
| Abstract: |
In an era of technological ubiquity, artificial intelligence (AI) is reshaping not only industries but also fundamental human experiences, including artistic creativity. Rooted in a Posthumanist theoretical framework, this research scrutinizes the intricate ethical and aesthetic challenges that artists confront in AI-enabled art creation, with a particular focus on a novel phenomenon we term 'aesthetic loss of control.' This phenomenon bears significant implications for notions of authorship, copyright, and business ethics in the art industry. Utilizing a mixed-methods approach, our study involves a six-month-long collaboration with 34 artists from diverse artistic and cultural milieus, facilitated by AI algorithms versed in an array of artistic styles. Through iterative cycles of human input and AI output, coupled with in-depth interviews, observational studies, and diary analyses, we meticulously document the artists' experiences and their emerging doubts over authorship and creative control. Our findings illuminate the nuanced complexities surrounding this 'aesthetic loss of control,' extending current discussions in business ethics by offering empirically grounded insights and recommendations for navigating these ethical dilemmas. The study not only contributes new theoretical perspectives to the discourse but also provides actionable ethical guidelines for stakeholders in the art industry's commercial ecosystem. [ABSTRACT FROM AUTHOR] |
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| Database: |
Business Source Index |