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The concept of accountability in AI ethics and governance

Abstract:
Calls to hold artificial intelligence to account are intensifying. Activists and researchers alike warn of an “accountability gap” or even a “crisis of accountability” in AI. Meanwhile, several prominent scholars maintain that accountability holds the key to governing AI. But usage of the term varies widely in discussions of AI ethics and governance. This chapter begins by disambiguating some different senses and dimensions of accountability, distinguishing it from neighboring concepts, and identifying sources of confusion. It proceeds to explore the idea that AI operates within an accountability gap arising from technical features of AI as well as the social context in which it is deployed. The chapter also evaluates various proposals for closing this gap. It concludes that the role of accountability in AI ethics and governance is vital but also more limited than some suggest. Accountability’s primary job description is to verify compliance with substantive normative principles—once those principles are settled. Theories of accountability cannot ultimately tell us what substantive standards to account for, especially when norms are contested or still emerging. Nonetheless, formal mechanisms of accountability provide a way of diagnosing and discouraging egregious wrongdoing even in the absence of normative agreement. Providing accounts can also be an important first step toward the development of more comprehensive regulatory standards for AI.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/oxfordhb/9780197579329.013.10

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Institution:
University of Oxford
Division:
HUMS
Department:
Philosophy Faculty
Role:
Author

Contributors

Role:
Editor
Role:
Editor
Role:
Editor
Role:
Editor
Role:
Editor


Publisher:
Oxford University Press
Host title:
The Oxford Handbook of AI Governance
Pages:
164-182
Chapter number:
8
Series:
Oxford Handbooks
Place of publication:
Oxford
Publication date:
2022-12-19
Acceptance date:
2022-01-11
Edition:
1
DOI:
EISBN:
9780197579350
ISBN:
9780197579329


Language:
English
Keywords:
Subtype:
Chapter
Pubs id:
1242669
Local pid:
pubs:1242669
Deposit date:
2022-03-07
ARK identifier:

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