Objective 5.5 · Domain 5 · 14% of the exam
Address ethical AI considerations (bias, fairness, transparency)
Bias, fairness and transparency as engineering concerns rather than sentiments. Where bias enters, whether through training data, prompt framing, evaluation sets or the humans reviewing output. How you would detect it. What you disclose to the people affected. Expect stems that ask for the measurement, not the intention.
5 questions · answers and explanations shown as you go · free, no sign-up
The rest of domain 5: Governance, Safety & Risk Management
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