Abstract
Corporations play a major role in artificial intelligence (AI) research, development, and deployment, with profound consequences for society. This paper surveys opportunities to improve how corporations govern their AI activities so as to better advance the public interest. The paper focuses on the roles of and opportunities for a wide range of actors inside the corporation—managers, workers, and investors—and outside the corporation—corporate partners and competitors, industry consortia, nonprofit organizations, the public, the media, and governments. Whereas prior work on multistakeholder AI governance has proposed dedicated institutions to bring together diverse actors and stakeholders, this paper explores the opportunities they have even in the absence of dedicated multistakeholder institutions. The paper illustrates these opportunities with many cases, including the participation of Google in the U.S. Department of Defense Project Maven; the publication of potentially harmful AI research by OpenAI, with input from the Partnership on AI; and the sale of facial recognition technology to law enforcement by corporations including Amazon, IBM, and Microsoft. These and other cases demonstrate the wide range of mechanisms to advance AI corporate governance in the public interest, especially when diverse actors work together.
Highlights
The corporate governance of artificial intelligence (AI) can benefit from input and activity from a range of stakeholders, including those both within and outside of the corporation
This paper offers a broad introduction to the topic and resource for a wide range of scholarships and initiatives to improve AI corporate governance
These areas of focus are important in their own right; they serve as examples to illustrate more general points about AI corporate governance that are applicable to other companies, political jurisdictions, and AI paradigms
Summary
The corporate governance of artificial intelligence (AI) can benefit from input and activity from a range of stakeholders, including those both within and outside of the corporation. Because this paper is focused on the practical mechanics of AI corporate governance, it mostly focuses on machine learning, the dominant AI paradigm today These areas of focus are important in their own right; they serve as examples to illustrate more general points about AI corporate governance that are applicable to other companies, political jurisdictions, and AI paradigms. In 2020, a nexus of activity from nonprofits, the public, governments, and corporate management prompted several companies, including Amazon, IBM, and Microsoft, to stop providing facial recognition technology to law enforcement agencies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.