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P45


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Priorities for AI ethics, law and governance 
Convenor:
Laura Musgrave (SPARCK and Ronin Institute)
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Format:
Panel
Sessions:
Tuesday 7 June, -
Time zone: Europe/London

Short Abstract:

What should the priorities be in approaching AI ethics, law and governance? This panel proposes a discussion of how we define those priorities in a space which crucially relies on multidisciplinary collaboration.

Long Abstract:

AI is increasingly - and often invisibly - embedded in technology used in daily life. This ubiquity presents opportunities for human society, yet also raises concerns about both obvious and obscured risks. A range of initiatives focused on ethical, social and legal aspects of AI have been proposed by researchers in academia and the technology industry to help address these concerns (Boddington, 2017). However, with such a broad range of identified issues and proposed approaches, how can we determine what the priorities should be?

Drawing on different perspectives, this panel will explore the opportunities and challenges for AI ethics, law and governance in relation to this question. This will include considering how the impacts of AI are frequently discussed in terms of the near and distant future. As questions have been raised around the distinction between the near and long-term (Prunkl and Whittlestone, 2020), it is important to consider how priorities might be categorised across a spectrum of urgency.

The panel invites contributions that consider how we can approach identifying priorities, in a space that requires multidisciplinary collaboration to have a significant impact on the issues identified.

References:

Boddington, P. 2017. Towards a Code of Ethics for Artificial Intelligence. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60648-4.

Prunkl, C. and Whittlestone, J. 2020. Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES '20), February 7-8, 2020. New York: ACM. https://doi.org/10.1145/3375627.3375803

Accepted papers:

Session 1 Tuesday 7 June, 2022, -
Panel Video visible to paid-up delegates