Conference item : Poster
Responsible AI and the arts: the ethical and legal implications of AI in the arts and creative industries
- Abstract:
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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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 412.2KB, Terms of use)
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- Publisher copy:
- 10.1145/3597512.3597528
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- Proceedings of the First International Symposium on Trustworthy Autonomous Systems
- Article number:
- 48
- Publication date:
- 2023-07-11
- Event title:
- First International Symposium on Trustworthy Autonomous Systems
- Event location:
- Edinburgh
- Event website:
- https://symposium.tas.ac.uk/
- Event start date:
- 2023-07-10
- Event end date:
- 2023-07-12
- DOI:
- ISBN:
- 9798400707346
- Language:
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English
- Keywords:
- Subtype:
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Poster
- Pubs id:
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1492974
- Local pid:
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pubs:1492974
- Deposit date:
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2023-07-17
Terms of use
- Copyright holder:
- Piskopani et al.
- Copyright date:
- 2023
- Rights statement:
- Copyright © 2023 Owner/Author
- Notes:
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This is the accepted manuscript version of the article. The final version is available from Association for Computing Machinery at https://doi.org/10.1145/3597512.3597528
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