This session explores how research institutions can leverage enterprise AI programs to streamline research misconduct proceedings. As investigations grow increasingly complex—driven in part by AI-enabled detection of potential misconduct—research integrity officers face mounting pressure from time-intensive review processes, resource constraints, and prolonged investigative timelines. This presentation examines the practical applications of enterprise AI tools across the phases of a misconduct proceeding, from initial assessment and allegation intake through inquiry, investigation, and report generation. This session also addresses critical ethical and legal considerations, including privacy, bias, and the importance of maintaining human oversight and investigative independence.

Attendees will gain actionable insights into responsible AI implementation strategies to enhance efficiency while preserving the integrity of the investigative process.