Artificial Intelligence
Predictive Policing and Algorithmic Bias
Led by: Mihir Kshirsagar
- Examine how predictive algorithms are developed and deployed in law enforcement, the risks of feedback loops and discriminatory outcomes, and practical steps agencies can take to evaluate and mitigate bias
- Learn strategies for using data responsibly and equitably in operational decision-making
Mihir Kshirsagar
Tech Policy Clinic Lead, Princeton University
Format: Instructor-led
Date & Time: October 29, 2025, 2:00 PM ET
Duration: 60-minutes
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Predictive policing tools use data to forecast potential criminal activity, but without careful oversight, these systems can reinforce existing biases and inequities. This workshop will examine how predictive algorithms are developed and deployed in law enforcement, the risks of feedback loops and discriminatory outcomes, and practical steps agencies can take to evaluate and mitigate bias. Participants will leave with strategies for using data responsibly and equitably in operational decision-making.
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