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What police agencies should know about AI data integration
Duprey, M. A., Cheeks, C., & Atherley, L. (2026). From data silos to decision support: What police agencies should know about AI data integration. Podcasts & Webinars
Webinar for law enforcement practitioners examining the benefits, limitations, and responsible use of AI-supported data integration across public safety systems. Panelists Curtis Cheeks, Loren Atherley, and Michael Duprey discussed practical agency experience, data quality, governance, and evaluation. Duprey explained threshold tradeoffs between false merges and missed links, how base rates affect the reliability of alerts, and how targeted deployment changes performance. He presented practical agency-level tests of record matching and retrieval, and questions for vendors about error rates, demographic performance, and testing before procurement and after software updates.
RTI shares its evidence-based research - through peer-reviewed publications and media - to ensure that it is accessible for others to build on, in line with our mission and scientific standards.
