AI is reshaping police detective work, starting with cold cases

4 min read Original article ↗

Police departments are using artificial intelligence to sift massive evidence troves, and it's jump-starting cold cases, missing-person investigations and trial preparation.

Why it matters: The biggest constraint in modern policing isn't a lack of evidence, but too much of it. AI promises to break that logjam, allowing stretched-thin departments to find critical leads buried in years of data.

Zoom in: AI startups Closure and Longeye are two firms offering law enforcement agencies new tools to search mountains of evidence often overlooked by overworked detectives and forensic investigators.

How it works: Investigators upload or pull in large datasets, such as jail calls, interviews, and photos, into a single workspace so they can be searched as a single corpus.

What they're saying: "There are cases that get screened out because we just don't have the capacity to deal with them," Anchorage Police Chief Sean Case tells Axios.

Closure CEO Aaron Zelinger tells Axios the AI tools aren't meant to automate decisions, but to surface relevant material for humans to verify.

State of play: A Cellebrite trends survey last year found nearly 70% of investigators say they don't have enough time to review all the digital data in their cases.

The other side: The American Civil Liberties Union (ACLU) warns that using AI in core criminal justice documents and processes raises "significant civil liberties and civil rights concerns," including risks tied to bias and reliability.

Yes, but: Zelinger argues that AI must make investigations more transparent, not less, by requiring users to return to the original evidence every time.

The intrigue: Closure can even offer detectives alternative theories and suspects after the tool has examined all the evidence.

The bottom line: The more police rely on AI to navigate evidence, the more due process hinges on transparency about how those tools work.