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Bias in AI

6 minNavigateFree episode
Bias in AI
AI and Truth
6 MINBias in AI
What you'll learn
  • →Understand that AI inherits the biases of the data it was trained on — race, gender, class, geography, language.
  • →Learn to spot bias in AI output by asking the same question with different identity framings.
  • →Recognize that the bias is the model, not your imagination.
Proof task

Don't just watch. Do.

Try this: ask any AI to write a short story about a doctor. Then ask it to write a short story about a nurse. Then a CEO. Then a teacher. Look at the names, the genders, the assumed details. The patterns it falls into are the bias.

Chapters

Jump to a moment.

  • 0:00The hook
  • 1:15The pattern
  • 2:45The interrupt
  • 4:30Practice scenario
  • 5:30The proof task
Up next in AI and Truth

Keep going.

Episode 5 · 5 min
When AI Gets It Right
Not everything is hallucination. AI is often accurate, fast, and useful. How to calibrate your trust without becoming either a skeptic or a believer.
Episode 6 · 5 min
Your Bullshit Detector
The mental model: AI is a very fast intern with no judgment. Check its work like you would check an intern's. Every time.
Reflect

“What assumptions do you carry that look a lot like the assumptions AI defaults to? Where do you suspect you got them from?”

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