AI in Policing: Superior Safety or Slippery Slope? @PhysicsorBust
AI in Policing: Superior Safety or Slippery Slope?  @PhysicsorBust
Uploaded September 2025 | Updated September 2026, 13 hours ago
From India’s new AI cameras at railway stations to predictive policing systems like MARVEL in Maharashtra and China’s Fire Eye, artificial intelligence is transforming law enforcement. But where is the line between safety and control?

In this video, we dive into the physics behind AI recognition—how light is converted into digital data, how “feature extraction” breaks down a face into measurable traits, and how matching algorithms compare that data to massive databases. Then, we explore the rise of predictive policing, from Chicago’s discontinued “Heat List” to the global expansion of AI surveillance systems.

Finally, we ask the tough questions: Could AI push societies down a slippery slope—where authorities not only predict crime, but arrest people before they commit it?

#manhunt #AI #Science #ProjectNola #Police #surveillance #surveillancesociety #gunman #technology
The Cartoon Guide to Physics by Larry Gonick (Author), Art Huffman (Author) Affiliate Link -- amzn.to/3OaJdJf

🔹 What You’ll Learn in This Video:

How AI-powered cameras actually recognize people

Real-world examples: India’s MARVEL program, Project NOLA in New Orleans, and China’s Fire Eye system

Why predictive policing is both a breakthrough and a potential threat

The historical lessons of surveillance turning from safety to control

Join us as we explore the cutting-edge physics and the ethical dilemmas of AI in policing.
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Physics Or Bust |

AI in Policing: Superior Safety or Slippery Slope?

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