Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries

Piskopani, Anna Maria; Chamberlain, Alan; Ten Holter, Carolyn

Abstract

This position piece starts to examine the ways in which AI-based autonomous technologies have begun to influence a range of human activities in the arts and creative industries.The rise of AI-generated art could potentially transform the act of creation and impact our understandings of creativity – from painting, writing, and music composition, to video animation. At the same time, there is increasing debate about the social, ethical, and legal implications of using these tools (eg copyright, biased data sets, devaluing artistic processes). Responsible Innovation (RI) could have a crucial role to play in understanding and responding to the complexity of debates.

We will explore and unpack how artists, AI developers and associated audiences/consumers of art have started to approach some of these issues. We will use these ideas as a starting point to explicate and further develop discourses surrounding the challenges associated with these technologies in the context of the creative industries. Finally, we will investigate how and if these challenges might be addressed.

Citation

Piskopani, A. M., Chamberlain, A., & Ten Holter, C. (2023, July). Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries. Presented at First International Symposium on Trustworthy Autonomous Systems (TAS 23), Edinburgh, UK

• Presentation Conference Type: Edited Proceedings
• Conference Name: First International Symposium on Trustworthy Autonomous Systems (TAS 23)
• Start Date: Jul 11, 2023
• End Date: Jul 12, 2023
• Acceptance Date: May 23, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: Jul 11, 2023
• Deposit Date: Jul 15, 2023
• Publicly Available Date: Jul 25, 2023
• Publisher: Association for Computing Machinery (ACM)
• Book Title: TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK
• ISBN: 9798400707346
• DOI: https://doi.org/10.1145/3597512.3597528
• Public URL: https://nottingham-repository.worktribe.com/output/22726499
• Publisher URL: https://dl.acm.org/doi/10.1145/3597512.3597528