Defining AI in Policy versus Practice

Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES).

11 Pages Posted: 7 Aug 2019 Last revised: 24 Dec 2019

See all articles by P. M. Krafft

P. M. Krafft

University of Oxford - Oxford Internet Institute

Meg Young

University of Washington Information School

Michael Katell

University of Washington, The Information School

Karen Huang

Harvard University

Ghislain Bugingo

University of Washington, The Information School, Students

Date Written: December 19, 2019

Abstract

Recent concern about harms of information technologies motivate consideration of regulatory action to forestall or constrain certain developments in the field of artificial intelligence (AI). However, definitional ambiguity hampers the possibility of conversation about this urgent topic of public concern. Legal and regulatory interventions require agreed-upon definitions, but consensus around a definition of AI has been elusive, especially in policy conversations. With an eye towards practical working definitions and a broader understanding of positions on these issues, we survey experts and review published policy documents to examine researcher and policy-maker conceptions of AI. We find that while AI researchers favor definitions of AI that emphasize technical functionality, policy-makers instead use definitions that compare systems to human thinking and behavior. We point out that definitions adhering closely to the functionality of AI systems are more inclusive of technologies in use today, whereas definitions that emphasize human-like capabilities are most applicable to hypothetical future technologies. As a result of this gap, ethical and regulatory efforts may overemphasize concern about future technologies at the expense of pressing issues with existing deployed technologies.

Keywords: Artificial Intelligence, Machine Learning, Tech Policy

Suggested Citation

Krafft, P. M. and Young, Margaret and Katell, Michael and Huang, Karen and Bugingo, Ghislain, Defining AI in Policy versus Practice (December 19, 2019). Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES). , Available at SSRN: https://ssrn.com/abstract=3431304 or http://dx.doi.org/10.2139/ssrn.3431304

P. M. Krafft (Contact Author)

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Margaret Young

University of Washington Information School ( email )

Seattle, WA
United States

Michael Katell

University of Washington, The Information School ( email )

Seattle, WA
United States

Karen Huang

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Ghislain Bugingo

University of Washington, The Information School, Students ( email )

Seattle, WA
United States

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