🤖 AI Dev Tools

AI Detectors' 95% Accuracy Lie: The Base Rate Trap No One Talks About

You'd think a 95% accurate AI detector nails cheaters every time. Wrong. Base rates turn that promise into a trap, dooming one in three flags to false positives.

Overlapping bell curves of human vs AI text perplexity distributions highlighting detection uncertainty

⚡ Key Takeaways

  • 95% 'accurate' AI detectors fail hard due to base rate fallacy—flagging humans 1/3 of the time at 10% cheater rates. 𝕏
  • Vendor confidence scores ignore Bayes; real probs plummet (98% -> 72% at low bases). 𝕏
  • Future: unis abandon them like polygraphs; devs need calibrated, open tools. 𝕏
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Originally reported by dev.to

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