CRIMINALYTICS · EDITION 3 · AI IN CRIMINAL JUSTICE

Criminalytics is a weekly newsletter at the intersection of algorithms and accountability in the justice system. Written by Pramod Kunju — AI Strategist, Author of AI in Criminal Justice, and Founder of Nakunj Inc.

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Welcome to the 1,600+ of you who are now part of Criminalytics. Each week covers one big idea at the intersection of AI and criminal justice. This week: AI working as it should.

When the 911 Call Gets Smarter, Lives Get Saved

Every day in America, roughly 600,000 calls are made to 911. Each one is a moment of crisis. Someone needs help. The question is: what kind of help, how fast, and from whom?

For decades, the answer depended almost entirely on a dispatcher’s training, instinct, and the information a panicked caller could communicate under pressure.

AI is changing that equation — and the results are striking.

30 seconds of AI briefing can be the difference between a safe resolution and a tragedy.

What Smart Dispatch Actually Looks Like

Louisville, Kentucky — Predictive Dispatch

A predictive dispatch system analyzes incoming call data in real time — location, call history, time of day, type of incident — and recommends the optimal resource to deploy. Not just the nearest unit, but the right unit. A mental health crisis routed to a crisis intervention team instead of armed officers. A medical emergency flagged for paramedics before the caller finishes describing symptoms.

Denver, Colorado — The STAR Program

The STAR program — Support Team Assisted Response — uses AI-assisted triage to divert non-violent calls away from police entirely, routing them to mental health professionals and social workers. In its first year, STAR responded to over 2,400 calls with zero use-of-force incidents. That’s not a pilot program result. That’s a proof of concept.

New Orleans, Louisiana — Gunshot Detection AI

Gunshot detection technology integrated with dispatch AI can identify the location and probable number of shots fired within seconds — getting officers to the scene before a single call comes in.

The De-escalation Dividend

Perhaps the most underappreciated application is what happens before officers arrive. AI tools that analyze a caller’s voice — tone, pace, stress indicators — can flag situations where de-escalation training is critical, giving dispatch an extra 30 seconds to brief responding officers on what they’re walking into.

Thirty seconds doesn’t sound like much. In a domestic violence call, it can be the difference between a safe resolution and a tragedy.

“The technology is rarely the bottleneck. It’s the institutions, the governance, and the political will. That gap — between what AI can do and what institutions are ready to absorb — is the central challenge of responsible deployment.”

The Responsible Deployment Question

None of this comes without complexity. Gunshot detection systems like ShotSpotter have faced scrutiny over false positive rates and their disproportionate deployment in communities of color. Predictive dispatch tools that draw on historical call data inherit the same biases we’ve discussed in earlier editions.

The answer isn’t to avoid these tools. It’s to deploy them with clear performance benchmarks, independent auditing, and community transparency about how they work and where they fail.

AI-assisted dispatch, done right, is one of the clearest examples of technology making the justice system faster, safer, and more human — for officers and the communities they serve.

What I’m Watching

• The STAR program in Denver is being studied by cities across the country as a model for AI-assisted crisis response diversion.
• NENA — the National Emergency Number Association — is actively developing standards for AI integration in 911 centers. Worth following.
• Several states are introducing legislation requiring transparency reports from gunshot detection vendors. A governance model worth watching.

CRIMINALYTICS is a weekly newsletter covering AI in criminal justice — where algorithms meet accountability and data meets due process.

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Pramod Kunju is the Founder & CEO of Nakunj Inc., an AI strategy and data analytics consulting firm. He is the author of AI in Criminal Justice and the creator of Criminalytics. Contact: pramod@nakunj.com | nakunj.com