How AI-assisted workflows are unlocking California police records

How AI-assisted workflows are unlocking California police records

https://current.org/2026/01/how-ai-assisted-workflows-are-unlocking-california-police-records/

Publish Date: 2026-01-16 09:00:00

Source Domain: current.org

• California Reporting Project Launch: On Jan. 1, 2019, California news organizations, including KQED, collaborated on the California Reporting Project by filing public records requests for police misconduct and shooting records under a new transparency law that went into effect.

• Project Growth and Expansion: Over three years, the project expanded to include more than 40 newsrooms and graduate students from the University of California at Berkeley, leveraging public records, database tools, and artificial intelligence to collect an unprecedented number of police records.

• Technological and Governance Models: KQED played a lead role in developing technical and financial models that enabled the long-term access and usage of massive amounts of police records, creating a foundation for an AI-powered durable database.

• Data Utilization and Accessibility: The influx of records from nearly 700 agencies led KQED to implement sophisticated data ingestion, de-duplication, linkage, clustering, and indexing processes. These were enhanced by AI for pattern spotting for journalists.

• Public Site Launch and Features: In 2022, the project launched a public website funded in part by Google News Initiative that offers a searchable database containing around 1.5 million pages of police records for journalists, researchers, families, and community advocates.

• AI Integration and Newsroom Workflows: AI tools were integrated into the workflow to summarize documents, extract key facts, and group cases. However, human oversight remains crucial for verification, reporting, and ensuring safety and privacy.

• Lessons for Public Media: Key takeaways suggest leveraging AI for behind-the-scenes sorting and extraction, aligning datasets with legal and practical records definitions, transparency about data gaps, prioritizing safety and privacy, and fostering collaborative journalism-technology-community efforts.

• Focus on Behind-the-Scenes AI: The overall mission highlighted that AI should serve as a tool for organizing and managing large datasets rather than generating viral stories, emphasizing the broader, impactful role of AI in public media.