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5 cards from this section. Quick, good the night before a test.
What is fairness in AI?
Think about sensitive characteristics like gender and race.
Why is accountability important in AI?
Consider what happens when AI makes a mistake.
What is the main goal of fairness in AI?
Think about how fairness relates to sensitive traits.
True or False: Accountability in AI means nobody is responsible for AI’s decisions.
Consider who should be held responsible when something goes wrong.
Design a hypothetical AI system for hiring that minimizes bias. What steps will you implement?
Consider how real recruitment processes could be improved.
Analyze a recent incident or study showing AI bias. Discuss potential corrective measures.
Use real cases to frame their analysis.
5 more questions in this section. Enroll free to practise them all.
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