A Regulatory Roadmap to AI and Privacy

7 Pages Posted: 11 Jun 2024

See all articles by Daniel J. Solove

Daniel J. Solove

George Washington University Law School

Date Written: May 11, 2024

Abstract

This short essay provides a regulatory roadmap to artificial intelligence and privacy. AI and privacy are deeply intertwined and have a complicated relationship with much overlap. AI can increase existing privacy problems, add dimensions and complexities to them, or remix them.

Some attempts to regulate focus exclusively on AI, but doing this is like trying to remove weeds without digging up their roots. In stark ways, AI is showing the flaws in existing privacy laws. Instead of seeing AI as a unique situation, AI should be viewed as an opportunity to change course with privacy law generally. To address AI’s privacy problems, policymakers shouldn’t just pass new AI laws; they should also fix existing privacy laws.

This essay briefly discusses the privacy problems raised by AI and how privacy law should be reformed to respond to these problems.

Keywords: AI, artificial intelligence, privacy, algorithmic decision-making, machine learning

JEL Classification: K00, C00, C10

Suggested Citation

Solove, Daniel J., A Regulatory Roadmap to AI and Privacy (May 11, 2024). GWU Law School Public Law Research Paper Forthcoming, IAPP News, Available at SSRN: https://ssrn.com/abstract=4825146

Daniel J. Solove (Contact Author)

George Washington University Law School ( email )

2000 H Street, N.W.
Washington, DC 20052
United States
202-994-9514 (Phone)

HOME PAGE: http://danielsolove.com

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