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George Washington University Law School: Artificial Intelligence and Privacy

Jeremy WeaverDecember 20, 2024
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Daniel J. Solove’s piece argues that current privacy laws—focused mainly on individual control—are inadequate for addressing the systemic harms posed by AI, and calls for a regulatory framework based on harm analysis and structural reforms.

George Washington University Law School: Artificial Intelligence and Privacy



Summary of Read Full Report

This piece by Daniel J. Solove examines the intersection of artificial intelligence (AI) and privacy. Solove argues that while AI exacerbates existing privacy issues, current privacy laws are insufficient, focusing too heavily on individual control rather than addressing systemic harms and risks.

The article analyzes AI's impact on data collection, generation, decision-making, and data analysis, highlighting the limitations of existing legal frameworks.

Finally, Solove proposes a regulatory roadmap emphasizing harm-based analysis and structural reforms to address AI's privacy challenges.

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ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.

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← PreviousU.S. House of Representatives: Bipartisan House Task Force Report on Artificial IntelligenceNext →Hangzhou Normal University: Does ChatGPT Enhance Student Learning? A Systematic Review and Meta-Analysis of Experimental Studies

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