Artificial Intelligence Hates The Second Amendment

About this video

Colion interviews researcher John Lott about crime statistics and how they are reported in media. Lott argues that while FBI-reported crimes appear to be falling, National Crime Victimization Survey data shows total crime (including unreported crimes) has risen significantly. Lott attributes this divergence to what he describes as a massive drop in arrest rates, which he claims has led people to stop reporting crimes. They also discuss Lott’s research on bias in AI chatbots regarding gun policy and crime prevention topics.

Key takeaways

• Lott argues there are two crime measures—FBI reported crimes and victimization surveys—and claims these have diverged recently, with reported crimes down but total victimization up
• Lott claims arrest rates in cities over one million have dropped from 44% to 20% for violent crimes, and down to 1% for property crimes, which he believes discourages crime reporting
• Lott presents research claiming most AI chatbots show liberal bias on crime and gun control questions, with Google’s Gemini and Facebook’s Llama described as the most biased according to his analysis

Episode details: published April 17, 2024 · 39:46 long. Summary written by Self Growth Videos from the episode itself. Colion Noir’s legal commentary reflects his positions and teaching, attributed to him — it is not legal advice. His defensive-incident breakdowns are his analysis of reported incidents, attributed to him.

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