AI Loyalty by Design: A Framework for Governance of AI

Oxford Handbook on AI Governance (Oxford University Press, 2022 Forthcoming)

U of Colorado Law Legal Studies Research Paper No. 21-28

27 Pages Posted: 28 Sep 2021 Last revised: 18 Oct 2021

See all articles by Anthony Aguirre

Anthony Aguirre

University of California, Santa Cruz

Peter Bart Reiner

Department of Psychiatry, University of British Columbia

Harry Surden

University of Colorado Law School

Gaia Dempsey

affiliation not provided to SSRN

Date Written: September 24, 2021

Abstract

Personal and professional relationships between people take a wide variety of forms, with many including both socially and legally-enforced powers, responsibilities, and protections. Artificial intelligence (AI) systems are increasingly supplementing or even replacing people in such roles including as advisors, assistants, and (soon) doctors, lawyers, and therapists. Yet it can be quite unclear to what degree they are bound by the same sorts of responsibilities. Much has been written about fairness, accountability, and transparency in the context of AI use and trust. But largely missing from this conversation is the concept of “AI loyalty”: for whom does an AI system work? AI systems are often created by corporations or other organizations, and may be operated by an intermediary party such as a government agency or business, but the end-users are often distinct individuals. This leads to potential conflict between the interests of the users and those of the creators or intermediaries, and, problematically, to AI systems that appear to act purely in users’ interest even when they are not. Here, we investigate the concept of “loyalty” both in human and AI systems, and advocate its central consideration in AI design. Systems for which high loyalty is appropriate should be designed, from the outset, to primarily and transparently benefit their end users, or at minimum transparently communicate unavoidable conflict-of-interest tradeoffs. We discuss both market and social advantages of high-loyalty AI systems, and potential governance frameworks in which AI loyalty can be encouraged and – in appropriate contexts – required.

Keywords: trustworthy AI, fiduciary, AI governance

Suggested Citation

Aguirre, Anthony and Reiner, Peter Bart and Surden, Harry and Dempsey, Gaia, AI Loyalty by Design: A Framework for Governance of AI (September 24, 2021). Oxford Handbook on AI Governance (Oxford University Press, 2022 Forthcoming), U of Colorado Law Legal Studies Research Paper No. 21-28, Available at SSRN: https://ssrn.com/abstract=3930338

Anthony Aguirre (Contact Author)

University of California, Santa Cruz ( email )

1156 High St
Santa Cruz, CA 95064
United States

Peter Bart Reiner

Department of Psychiatry, University of British Columbia ( email )

2255 Wesbrook Mall
Vancouver, British Columbia BC V6T 2A1
Canada
250.537.6560 (Phone)

HOME PAGE: http://peterbartreiner.com

Harry Surden

University of Colorado Law School ( email )

401 UCB
Boulder, CO 80309
United States

HOME PAGE: http://lawweb.colorado.edu/profiles/profile.jsp?id=316

Gaia Dempsey

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
98
Abstract Views
497
rank
363,366
PlumX Metrics