What happens when police departments invest millions in artificial intelligence systems that may not actually understand the communities they're supposed to protect?

In Part 2 of this AI Unhinged conversation, Dr. Calvin Lawrence continues his discussion with Keith Meadows, former Chief of Police for the City of South Fulton, about the future of AI in law enforcement and the consequences of getting it wrong.

Drawing from their experience working together on policing technology, they examine why many predictive policing systems rely on oversimplified models of criminal behavior, how those systems can contribute to over-policing, and why human intelligence should never be replaced by an algorithm's recommendation.

Chief Meadows reveals how his approach to crime data often challenged the recommendations of automated systems and why understanding the circumstances behind a crime matters more than simply counting incidents on a map.

The conversation also exposes a growing challenge within the technology industry: companies marketing AI solutions that may not deliver what they promise, police departments purchasing systems without fully understanding them, and leaders failing to establish the policies and training necessary for responsible implementation.

But the discussion doesn't stop at policing.

Dr. Lawrence and Chief Meadows explore the future of data integration, artificial intelligence, quantum computing, and the growing demand for technology that can analyze increasingly complex information.

The question is no longer just what AI can do. It's what we should allow it to do, who gets to make those decisions, and what happens when those decisions are wrong.

Listen to Episode 9 of AI Unhinged as two professionals with firsthand experience developing and implementing policing technology challenge the industry to think beyond algorithms, profits, and promises.

This is Part 2 of the two-part conversation with former Police Chief Keith Meadows. Listen to Part 1 for their discussion on facial recognition, predictive policing, racial bias, and accountability.

LEARN MORE ABOUT DR. LAWRENCE: calvindlawrence.com

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AI is changing Policing. Are we Ready?

Artificial intelligence is changing the way police investigate crimes, identify suspects, and decide where to deploy officers. But when technology starts influencing who gets investigated, who gets arrested, and which communities receive the most police attention, who is responsible for making sure it gets things right?

In Part 1 of this two-part AI Unhinged conversation, Dr. Calvin Lawrence sits down with Keith Meadows, former Chief of Police for the City of South Fulton, whose 40-year law enforcement career includes three decades with the Atlanta Police Department.

Having worked together on technology initiatives involving law enforcement, Dr. Lawrence and Chief Meadows bring two perspectives to the same conversation: the engineer building AI solutions and the police leader responsible for how those solutions are used in real communities.

They explore the promises and dangers of facial recognition, predictive policing, behavioral profiling, and the growing reliance on artificial intelligence in criminal investigations.

Chief Meadows shares his experience leading police departments, his approach to community policing, and why technology should never replace human judgment. The conversation also revisits the wrongful arrest of Robert Williams and examines what happens when an algorithm's recommendation becomes the foundation for a police investigation.

Can AI help officers solve crimes faster without reinforcing racial bias? Can predictive policing improve public safety without over-policing already vulnerable communities? And how do we hold both technology companies and law enforcement accountable?

The technology may be powerful, but the responsibility is still human.

Listen to Episode 8 of AI Unhinged, Part 1 of this two-part conversation, as Dr. Lawrence and Chief Meadows examine the future of policing in an AI-driven world.

Subscribe to AI Unhinged and stay tuned for Part 2.

LEARN MORE ABOUT DR. LAWRENCE: calvindlawrence.com

FOLLOW US ON INSTAGRAM: @aiunhingedpodcast

PRODUCED BY: ORGANIZED MOVEMENTS

What happens when artificial intelligence identifies you as a criminal, and the police believe the computer instead of the evidence?

In this powerful episode of AI Unhinged, Dr. Calvin Lawrence sits down with Robert Williams, a Detroit-area father whose life was turned upside down after facial recognition technology incorrectly identified him as a suspect in a crime he did not commit.

Williams shares his experience of being arrested in front of his family, spending time in detention, and fighting to clear his name. He also opens up about the emotional impact on his young daughter, the financial burden of defending himself, and the frustrating reality of trying to hold a system accountable for its mistakes.

Drawing on his experience developing AI systems and working with law enforcement, Dr. Lawrence breaks down how facial recognition technology works, why algorithmic bias disproportionately affects Black communities, and how dangerous it becomes when investigators treat technology as unquestionable evidence.

Together, they confront difficult questions about racial bias, policing, corporate responsibility, and the human cost of technological innovation without proper safeguards.

This isn't a hypothetical conversation about what AI might do someday. It's a firsthand account of what has already happened.

And as artificial intelligence becomes increasingly embedded in law enforcement, Robert Williams has a warning everyone needs to hear: It could happen to you.

Listen to AI Unhinged and discover why the future of AI accountability is about much more than technology. It's about people.

LEARN MORE ABOUT DR. LAWRENCE: calvindlawrence.com

FOLLOW US ON INSTAGRAM: @aiunhingedpodcast

PRODUCED BY: ORGANIZED MOVEMENTS