Post-DST lethargy
A small newsletter on legaltech
AI
The Supreme Court of Delaware has issued an interim policy on the use of AI in state courts and Georgia has appointed members to a new ad hoc committee on AI and courts
A study by researchers at University of Washington tested 3 open-source LLMs on racial and gender bias when screening resumes, finding that “Black men fared the worst with the models preferring other candidates nearly 100% of the time”
The site LawSnap has issued an AI Cookbook, with guides to prompting on ChatGPT for legal professionals, suggested use cases and more
An interdisciplinary team at Georgia State University has launched a new open-source AI-based tool called the Federal Court Data Explorer that is free to the public
From AP: “Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said”
From 404 Media ($): “Using a public records request, 404 Media has obtained and analyzed several hours of audio from Columbia County Board of Elections meetings over the past year that give a sense for how election officials in one of the most critical swing states considered using AI-powered software to assist with voter eligibility challenges”
Data Privacy
Also from 404 Media - a data broker that is aggregating voting records and making them available on the open web has provoked concern over doxing and stalking
Events
Wednesday, Nov. 13, 2024, 9:30 PT - Unpacking the CCDAA with Sen. Scott Wiener [webinar]
Long “Reads”
Tank Talks by Ripple Ventures [video podcast], “Revolutionizing Law with AI: Alex Alben of Theo AI on Predictive Legal Tech, Privacy, and the Future of Regulation,” Oct. 31, 2024,
Solove, Daniel J. and Hartzog, Woodrow, Kafka in the Age of AI and the Futility of Privacy as Control, 104 Boston University Law Review 1021 (2024), GWU Legal Studies Research Paper No. 2024-31, GWU Law School Public Law Research Paper No. 2024-31, Boston Univ. School of Law Research Paper No. 4685553, Available at SSRN: https://ssrn.com/abstract=4685553 or http://dx.doi.org/10.2139/ssrn.4685553
Gervais, Daniel J. and Shemtov, Noam and Marmanis, Haralambos and Zaller Rowland, Catherine, The Heart of the Matter: Copyright, AI Training, and LLMs, (September 21, 2024). Available at SSRN: https://ssrn.com/abstract=4963711 or http://dx.doi.org/10.2139/ssrn.4963711