Bias and fairness
Definition and example
Bias and fairness is the focus of this lesson. Models repeat the bias in their training data. Review answers about people carefully. The task asks you to apply that idea in a small example: What do models repeat. Before you run the code, predict what should happen. Then Inspect the result produced by the exercise and compare it with your prediction. If the result differs, change one relevant line and run it again. Testing one change at a time makes the cause of a result easier to understand.
What do models repeat?
Pick an answer to check
Pick the right option in the middle column. A wrong answer keeps the next task locked.
Why this works
One question, one correct answer. The explanation appears as soon as you are right, and the next task unlocks with it.
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Incorrect attempts before answer: 0 / 3
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Worked answer
You have made three incorrect attempts. Review this example, close the window, and continue practising.