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

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Summary

Introduction

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.

Definitions
Prior Work
Actor-Specific Opportunities to Improve AI Corporate Governance
Management
Workers
Investors
Corporate Partners and Competitors
Industry Consortia
Nonprofit Organizations
The Public
The Media
Government
Findings
Conclusions

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