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At the Frontier: Exploring Applications of Large Language Models in Crime Research and Public Policy
Wed, Nov 12, 9:30 to 10:50am, Marquis Salon 15 - M2Session Submission Type: Complete Thematic Panel
Abstract/Description
This panel explores the transformative role of large language models (LLMs) in criminological research and public policy. Panelists will discuss how LLMs are being leveraged to analyze unstructured police narratives to identify vulnerability indicators, automate race-related redactions in legal documents, model emergent behaviors in AI-driven multi-agent simulations, and construct comprehensive databases of state-level criminal justice policies.
Sub Unit
Individual Presentations
Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident Narratives - Sam Relins, University of York; Dan Birks, University of Leeds; Charlie Lloyd, University of York
Using AI to Redact Race-Related Information from Police Reports - Alex Chohlas-Wood, New York University; Joe Nudell, Harvard University; Julian Nyarko, Stanford University; Sharad Goel, Harvard University
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy - Gian Maria Campedelli, Fondazione Bruno Kessler; Nicolò Penzo, Fondazione Bruno Kessler / University of Trento; Massimo Stefan, University of Trento / University of Amsterdam; Roberto Dessì, Samaya AI; Marco Guerini, Fondazione Bruno Kessler; Bruno Lepri, Fondazione Bruno Kessler; Jacopo Staiano, University of Trento
Unlocking the Policy Laboratory with AI: A Comprehensive Database of Criminal Justice Policies in U.S. States - Elliott Ash, ETH Zurich; Zubin Jelveh, University of Maryland, College Park