From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators

Macrae, Carl

Abstract

What should we do when artificial intelligence (AI) goes wrong? AI has huge potential to improve the safety of societally critical systems, such as healthcare and transport, but it also has the potential to introduce new risks and amplify existing ones. For instance, biases in widely deployed diagnostic AI systems could adversely affect the care of a large number of patients (Fraser et al. 2018), and hidden weaknesses in the perception systems of autonomous vehicles may regularly expose road users to significant risk (NTSB 2019). What are the most appropriate strategies for governing the safety of AI-based systems? One answer emerges from taking contrasting looks forwards to our imagined dystopian AI future and backwards to the progressive evolution of aviation safety.

Citation

Macrae, C. (2023). From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators. AI & Society, 38, 1971-1973. https://doi.org/10.1007/s00146-021-01246-5

• Journal Article Type: Other
• Acceptance Date: Jun 16, 2021
• Online Publication Date: Jul 13, 2021
• Publication Date: 2023-10
• Deposit Date: Jul 15, 2021
• Publicly Available Date: Jul 14, 2022
• Journal: AI and Society
• Print ISSN: 0951-5666
• Electronic ISSN: 1435-5655
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Pages: 1971-1973
• DOI: https://doi.org/10.1007/s00146-021-01246-5
• Public URL: https://nottingham-repository.worktribe.com/output/5786407
• Publisher URL: https://link.springer.com/article/10.1007/s00146-021-01246-5
• Additional Information: This is a post-peer-review, pre-copyedit version of an article published in AI & Society. The final authenticated version is available online at: https://dx.doi.org/10.1007/s00146-021-01246-5