Cited by 23Ethics and Social Impacts of AIDigitalization, Law, and RegulationExplainable Artificial Intelligence (XAI)

The Concept of Accountability in AI Ethics and Governance

Open access
Lechterman, Theodore M.·2022·The Oxford Handbook of AI 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.

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Authors
Lechterman, T. M.
Affiliations
University of Oxford (GB)
Corresponding author
Lechterman, Theodore M.
Venue
The Oxford Handbook of AI Governance
Published
2022-12-19
Pages
164-182
OpenAlex
W4311911485
Cited by
23
References
46
Citations by year
2026: 9 · 2025: 9 · 2024: 4 · 2022: 1
FWCI
12.49
Type
book chapter
Language
en
Open access
Locations
  • Oxford University Press eBooks (publishedVersion)
  • PhilPapers (PhilPapers Foundation) (submittedVersion)
  • IE Repository (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords
accountability, AI ethics, AI governance, accountability gap, normative principles, AI regulation

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