Behavioral Use Licensing for Responsible AI

Danish Contractor; Daniel McDuff; Julia Katherine Haines; Jenny Lee; Christopher Hines; Brent Hecht; Nicholas Vincent; Hanlin Li

doi:10.1145/3531146.3533143

Behavioral Use Licensing for Responsible AI

Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent Hecht, Nicholas Vincent, Hanlin Li

Communication Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

27 Scopus citations

Abstract

With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and democratization of scientific knowledge. Many high-profile academic publishing venues expect code and models to be submitted and released with papers. Furthermore, developers often want to release these assets to encourage development of technology that leverages their frameworks and services. A number of organizations have expressed concerns about the inappropriate or irresponsible use of AI and have proposed ethical guidelines around the application of such systems. While such guidelines can help set norms and shape policy, they are not easily enforceable. In this paper, we advocate the use of licensing to enable legally enforceable behavioral use conditions on software and code and provide several case studies that demonstrate the feasibility of behavioral use licensing. We envision how licensing may be implemented in accordance with existing responsible AI guidelines.

Original language	English (US)
Title of host publication	Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022
Publisher	Association for Computing Machinery
Pages	778-788
Number of pages	11
ISBN (Electronic)	9781450393522
DOIs	https://doi.org/10.1145/3531146.3533143
State	Published - Jun 21 2022
Event	5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 - Virtual, Online, Korea, Republic of Duration: Jun 21 2022 → Jun 24 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	6/21/22 → 6/24/22

Keywords

AI licensing
enforceable mechanisms
ethical guidelines and principles

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3531146.3533143

Cite this

Contractor, D., McDuff, D., Haines, J. K., Lee, J., Hines, C., Hecht, B., Vincent, N., & Li, H. (2022). Behavioral Use Licensing for Responsible AI. In Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 778-788). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3531146.3533143

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abstract = "With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and democratization of scientific knowledge. Many high-profile academic publishing venues expect code and models to be submitted and released with papers. Furthermore, developers often want to release these assets to encourage development of technology that leverages their frameworks and services. A number of organizations have expressed concerns about the inappropriate or irresponsible use of AI and have proposed ethical guidelines around the application of such systems. While such guidelines can help set norms and shape policy, they are not easily enforceable. In this paper, we advocate the use of licensing to enable legally enforceable behavioral use conditions on software and code and provide several case studies that demonstrate the feasibility of behavioral use licensing. We envision how licensing may be implemented in accordance with existing responsible AI guidelines.",

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Contractor, D, McDuff, D, Haines, JK, Lee, J, Hines, C, Hecht, B, Vincent, N & Li, H 2022, Behavioral Use Licensing for Responsible AI. in Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 778-788, 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022, Virtual, Online, Korea, Republic of, 6/21/22. https://doi.org/10.1145/3531146.3533143

Behavioral Use Licensing for Responsible AI. / Contractor, Danish; McDuff, Daniel; Haines, Julia Katherine et al.
Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. Association for Computing Machinery, 2022. p. 778-788 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Behavioral Use Licensing for Responsible AI

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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