"Predictive Policing in the Age of AI" with Renée Jørgensen
Summary
Hosts Geoff Howard and Emily McTernan interview Professor Renee Jorgensen on the ethics of predictive policing. Jorgensen argues that policing aims to minimize rights-violation risks, making place-based algorithms unjustified as they disproportionately burden disadvantaged communities with police violence risks for minor property crime reductions. She advocates for alternative social interventions and suggests using algorithms to detect white-collar wage theft instead.
Topics discussed
Introduction and guest Renee Jorgensen
Person-based vs. place-based predictive policing
The moral justification of policing and risk reduction
Balancing rights violations and crime prevention risks
Targeting risk distribution rather than average crime rates
How PredPol and Risk Terrain Modeling work
Effectiveness of predictive tools on property crime
Risks of police-community interactions in targeted areas
Alternatives like target hardening and social services
The flaw in arguing predictive policing benefits marginalized groups
Applying predictive algorithms to white-collar wage theft
Methodological assumptions and idealizing in philosophy
Final question and closing remarks
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