The team will use an original dataset of prosecutorial misconduct cases in Ohio as a test case for developing artificial intelligence tools based on large language models (LLMs), in a collaborative human-LLM framework, to automate, update, and lay the foundation for a first-of-its-kind public database tracking improper behavior by prosecutors during criminal trials. Through these AI tools, they will leverage the legwork of our investigative reporters to publish a recent repository of these Ohio cases – a prototype of what the team hopes will become an interactive database enabling watchdog journalists, legal researchers, and others to identify patterns of improper and at times illegal behavior by prosecutors in this state and beyond. Along the way, they will produce a user study to assess the utility of the human-LLM collaboration framework and models, as well as a guidebook to help journalists replicate this database in states with online court dockets similar to Ohio’s.
Improper Conduct2024-2025
