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Computer Science > Computers and Society

arXiv:2212.08364 (cs)
[Submitted on 16 Dec 2022]

Title:Three lines of defense against risks from AI

Authors:Jonas Schuett
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Abstract:Organizations that develop and deploy artificial intelligence (AI) systems need to manage the associated risks - for economic, legal, and ethical reasons. However, it is not always clear who is responsible for AI risk management. The Three Lines of Defense (3LoD) model, which is considered best practice in many industries, might offer a solution. It is a risk management framework that helps organizations to assign and coordinate risk management roles and responsibilities. In this article, I suggest ways in which AI companies could implement the model. I also discuss how the model could help reduce risks from AI: it could identify and close gaps in risk coverage, increase the effectiveness of risk management practices, and enable the board of directors to oversee management more effectively. The article is intended to inform decision-makers at leading AI companies, regulators, and standard-setting bodies.
Comments: 22 pages, 2 figures
Subjects: Computers and Society (cs.CY)
Cite as: arXiv:2212.08364 [cs.CY]
  (or arXiv:2212.08364v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2212.08364
Related DOI: https://doi.org/10.1007/s00146-023-01811-0

Submission history

From: Jonas Schuett [view email]
[v1] Fri, 16 Dec 2022 09:33:00 UTC (695 KB)
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