George Washington University Law School: Artificial Intelligence and Privacy
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" class="text-blue-600 hover:text-blue-800" target="_blank" rel="noopener noreferrer">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4713111'>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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