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EC-CouncilCertified Responsible AI Governance and Ethics

Domain 1Objective 3

Ethics Frameworks CRAGE Practice Questions (Page 1)

Part of the AI Foundations and Responsible AI Principles domain, which makes up ~15% of our current practice bank.

24questions here
5free pages
3concepts

Questions 1–5

  1. 1application · medium

    A healthcare startup is developing an AI triage system that prioritizes emergency patients. The system could reduce overall wait times but might occasionally misclassify a high-risk patient as low-risk. The product owner insists on maximizing the number of patients served per hour, citing the greatest good for the greatest number. Which ethical framework does the product owner's position most closely reflect, and what is its primary limitation in this context?

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  2. 2foundation · easy

    An AI team is deciding whether to deploy a facial recognition system that improves security but may misidentify certain demographic groups. Using a utilitarian approach, what should the team primarily consider?

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  3. 3application · medium

    An autonomous vehicle's AI must decide between swerving to avoid a pedestrian and staying on course to protect its passenger. A utilitarian analysis suggests swerving saves more lives overall, but a deontological analysis argues that using the pedestrian as a means to protect the passenger is wrong. Which statement best captures the core difference between these two frameworks in this dilemma?

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  4. 4application · medium

    A retail company is using an AI system to personalize product recommendations. The system is highly effective at increasing sales, but it also manipulates vulnerable customers into making purchases they cannot afford. The company's ethics committee must decide whether to continue using the system. A committee member argues that the system should be evaluated by whether it demonstrates the virtue of honesty in its interactions with customers. Which ethical framework does this argument most closely reflect?

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  5. 5application · medium

    An e-commerce company uses an AI recommendation system. A new feature would increase sales by 15% but would also manipulate users into buying items they do not need by exploiting known psychological biases. The chief marketing officer wants to launch the feature, arguing that the increased revenue will fund social good projects. Which framework would most directly challenge this decision by focusing on the inherent wrongness of manipulation, regardless of the beneficial outcomes?

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