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Ethical Considerations in AI Flashcards

7 cards from real CAIC practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Ethical Considerations in AI flashcards as text
  1. A healthcare AI system performs better on clinical data from urban hospitals than rural clinics. This is an example of which ethical concern?

    Answer: Dataset bias

    Dataset bias occurs when training data does not represent the full population, causing the model to underperform for underrepresented groups.

  2. Which principle requires that AI decision-making processes be understandable and auditable by humans?

    Answer: Explainability

    Explainability (also called interpretability) ensures that the reasoning behind AI decisions can be understood and reviewed by humans.

  3. An AI hiring tool systematically ranks female candidates lower for engineering roles. The most appropriate immediate action is to:

    Answer: Audit the model for discriminatory patterns

    Auditing the model identifies whether and how bias manifests before deciding on corrective technical steps.

  4. The concept of 'differential privacy' in AI systems primarily protects against:

    Answer: Membership inference attacks that reveal individual training records

    Differential privacy adds statistical noise so that outputs cannot be used to infer whether any specific individual's data was in the training set.

  5. Which ethical framework evaluates AI actions based on the greatest good for the greatest number of people?

    Answer: Utilitarian ethics

    Utilitarian ethics judges the morality of an action by its outcomes, favoring those that maximize overall well-being.

  6. A company deploys an AI chatbot that collects user data without explicit consent. This violates which core AI ethics principle?

    Answer: Informed consent and autonomy

    Informed consent requires that individuals be clearly told how their data will be used and actively agree before collection.

  7. When an AI system produces a decision with life-altering consequences (e.g., parole denial), which safeguard is most critical?

    Answer: Ability for human override and review

    High-stakes decisions require meaningful human oversight so errors or biases can be caught and corrected before causing harm.