AI Cannot Be Probable Cause Podcast Por  arte de portada

AI Cannot Be Probable Cause

AI Cannot Be Probable Cause

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You can learn a lot about the law by watching what people argue about in real time. Tonight we’re joined by Von Kliem, the Force Science “poster boy,” and we jump straight into the questions listeners actually care about: when a suspect runs, can police follow them into a house, and what counts as exigent circumstances or hot pursuit under the Fourth Amendment?

From there we zoom out to the future of law enforcement technology. We talk AI in courts, algorithmic bias, and why facial recognition must never be treated as probable cause by itself. We also get practical about policy: case numbers, verification steps, analyst workflows, and the same common-sense rule that applies to ALPR hits too. AI can organize information, but it cannot replace judgment, validation, and accountability.

Then we tackle body-worn cameras and the “record everything” debate, including muting, storage costs, battery limits, and the very real human exhaustion of being under constant scrutiny. We break down a disturbing baton video where commands and strikes collide, discuss what compliance should look like, and talk honestly about the duty to intervene when another officer loses control. We end on a needed counterweight: a coordinated search that finds a missing nonverbal autistic child safe, and why moments like that still matter.

If you got something out of this, subscribe, share the episode with a friend, and leave a review. What’s one policing policy you think needs to change first?

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