AI Ethics Evaluations and Audits: Quiz

Why may ethics audits be considered necessary for governing AI technology?

A) Because the law moves at the speed of industrial reality (years/decades) while AI moves in weeks/days.

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B) Because AI ethics audits are the only way to ensure that a machine achieves 100% technical accuracy.

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C) Because international law has already banned the use of AI in any high risk sector without a certified ethics license.

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D) Because ethicists can be better at coding and software engineering than computer scientists.

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What are the three distinct segments of the AI ethics audit process described in the lectures?

A) Data cleaning, Model training, and Deployment.

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B) Sociotechnical scenario, Evaluation process, and Report/recommendation.

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C) Legal review, Financial inspection, and Technical debugging.

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D) Public polling, Marketing analysis, and User testing.

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In the “Sociotechnical Scenario” phase, what is required of professional stakeholders like doctors or engineers?

A) They must provide their full source code and medical records to the public.

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B) They are required to use highly specialized jargon to ensure technical precision in the audit.

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C) They must only speak to the ethicist and avoid talking to other professionals in the group.

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D) They must communicate their connection to the tool in "common language" that everyone can understand.

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What is the primary purpose of using a “top-down” approach (working through the nine principles) during the evaluation phase?

A) To find and fix bugs in the AI's software code before it is released to the market.

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B) To ensure the tool is inspected from multiple angles and to provide a common structure for comparing different tools.

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C) To determine the maximum amount of profit the company can make while remaining legal.

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D) To replace the need for "bottom-up" human brainstorming or freestyle discussion.

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In the Copenhagen cardiac arrest AI case study, what was the core “fairness” dilemma identified during the audit?

A) The AI was too slow to respond to emergency calls compared to human operators.

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B) The AI was biased against elderly patients because it could not recognize their voices.

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C) The AI worked significantly better for majority languages (Danish/English) than for minority languages.

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D) The AI cost too much money to implement in rural areas, creating a wealth gap in healthcare.

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Emotion AI Ethics

Participants 871

James Brusseau 12/01/2026

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