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Privacy & AI: Navigating the Legal Landscape

Trisha Grant, Debrae C Kennedy-Mayo, Solyn Lee, Var Shankar, and Matthew Dahl

The program delved into the current and future impacts of artificial intelligence (AI) in the legal domain, covering a breadth of topics. These ranged from discussing the ramifications of hallucinations in large language models (LLMs) to advocating for public alternatives in AI development, exploring regulatory strategies for AI use, fostering partnerships with industry consortiums, promoting transparency in AI applications, conducting empirical research on LLMs' handling of legal data, addressing concerns about algorithmic harm, ensuring access to justice, and assessing potential impacts on legal diversity.

The speakers underscored the significance of public alternatives in AI development and regulatory frameworks, while advocating for collaborative efforts with industry consortiums and stressing transparency in AI deployment. Moreover, they highlighted the necessity for targeted policies to tackle specific AI-related challenges, such as deep fakes and impersonation. Recent regulatory measures, including those by the FCC and FTC, were cited as proactive responses to emerging threats posed by AI technologies.

This program is cosponsored by ABA Science and Technology Law Section E-Privacy Law Committee, Intellectual Property Section AI/Machine Learning Task Force, and ABA Task Force on Law and AI.