# Oakland's police reform offers a new model

> After 23 years of federal oversight, Oakland used AI analysis of body camera footage to transform police interactions and reduce racial disparities.
- Title: Oakland's police reform offers a new model · TIME | Shortify
- Summary: After 23 years of federal oversight, Oakland used AI analysis of body camera footage to transform police interactions and reduce racial disparities. Oakland…
- Keywords: oakland police department, police reform, body camera footage, artificial intelligence, racial bias, federal oversight, police training, Oakland's, police, reform, offers, model
- Source: TIME — https://time.com/article/2026/09/29/23-years-oversight-oakland-police-reform-offers-new-hope
- Author: Jennifer L. Eberhardt
- Published: 2026-09-29T10:00:05.049+00:00
- Read time: 2 min
- Topics: oakland police department, police reform, body camera footage, artificial intelligence, racial bias, federal oversight, police training
## A city under federal watch
Oakland Police Department has been under federal court oversight for twenty three years, the longest for any American city, following revelations of illegal tactics and violence.
## The problem nobody could solve
Civil rights lawyers John Burris and Jim Chanin brought in researchers to understand racial disparities in policing. Arrest records and crime statistics showed what was happening but not why.
## A decade of untapped footage
Oakland had been an early adopter of police body-worn cameras, amassing over a decade of footage from routine police interactions. Yet almost none of it was examined to improve policing.
## Why humans couldn't do it alone
Body-worn camera footage was treated only as evidence after encounters went wrong. Routine interactions where trust was built or broken went unexamined because humans could not monitor footage at that scale.
## Stanford researchers build AI tools
Oakland granted Stanford researchers access to body-worn camera footage. A team of linguists, social psychologists, and computer scientists built computational tools to analyze videos at scale and identify patterns.
## What the data revealed
AI analysis found linguistic signatures predicting escalation within twenty seven seconds of an encounter. Researchers discovered a respect gap that officers imposed on Black drivers before they even spoke.
## Targeted reforms based on data
Oakland implemented data-driven reforms including requiring officers to record the rationale for stops before making them. Many were skeptical these changes would do anything but increase crime.
## The results exceeded expectations
After implementing new policies and trainings, stops of Black civilians in Oakland dropped by forty three percent without any uptick in crime. Officer-involved shootings fell from eight per year to eight over five years.
## Data gave community voices power
A Black woman working for the police department said data gave individual stories a way to become fodder for systemic change. The department could no longer dismiss community claims of mistreatment.

> Data gave us a way to be heard
## A model for American policing
Oakland's approach shows AI can improve police-civilian interactions without building data centers or threatening jobs. As more cities adopt this model, American policing could be transformed.
## Federal judge decides on oversight
This week a federal judge is expected to decide whether Oakland's twenty three years of federal court oversight can finally end after years of progress toward required reforms.
## Key takeaway

Oakland Police Department reduced stops of Black civilians by forty three percent using AI analysis of body camera footage, offering a model for police reform nationwide.