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15 hard questions across the advanced tutorial: reviewing a bounded AI feature, uncertain legal applicability, fairness metrics and small samples, residual risk, re-identification, open versus closed trade-offs, oversight, stop-use criteria, post-mortems and a go/no-go recommendation.
All questions on one page
Scroll through the whole paper and answer in any order, like a real exam.
Pass mark
You need 9 of 15 marks to pass.
Timed
You get 25 minutes. The exam submits automatically when time runs out.
15 questions, 1 mark each. Pass mark: 9. Most questions describe a short situation and ask for a judgement. Some have more than one defensible answer, and some ask you to type a short answer. Every scenario, name and number in a question is invented for practice. Credit goes to answers that name the uncertainty, use the evidence given, weigh the trade-offs and give a decision you could defend. The exam is educational and is not legal advice. Code in questions is Python 3.12, standard library only, and runs offline on invented toy data.
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