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Ethical Considerations in AI Flashcards

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

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  1. The concept of 'value alignment' in AI safety refers to:

    Answer: Ensuring AI systems pursue goals consistent with human values and intentions

    Value alignment ensures that as AI systems become more capable, their objectives remain consistent with what humans actually want and care about.

  2. Which scenario best illustrates the 'dual-use' ethical dilemma in AI?

    Answer: Facial recognition developed for accessibility tools also enabling mass surveillance

    Dual-use dilemmas arise when technology developed for beneficial purposes can also be repurposed for harmful applications.

  3. Participatory design in AI ethics involves:

    Answer: Including affected communities in the design and evaluation of AI systems

    Participatory design brings in the perspectives of people who will be affected by an AI system during its development, improving relevance and reducing harm.

  4. A hospital uses an AI triage tool that performs well on average but poorly for elderly patients. Releasing it without disclosing this gap primarily violates which principle?

    Answer: Transparency and honesty about model limitations

    Transparency requires disclosing known performance gaps so that clinicians can make informed decisions about when to trust the model.

  5. Which of the following best describes 'algorithmic recourse'?

    Answer: The ability of individuals to appeal or change outcomes produced by automated systems

    Algorithmic recourse gives individuals a meaningful path to contest or reverse automated decisions that negatively affect them.

  6. When evaluating fairness in a recidivism prediction model, which of the following is a documented real-world criticism of the COMPAS system?

    Answer: It produced higher false positive rates for Black defendants than white defendants

    ProPublica's 2016 analysis found COMPAS had significantly higher false positive rates for Black defendants, flagging them as high-risk when they did not reoffend.

  7. The principle of 'beneficence' in AI ethics requires that AI systems:

    Answer: Actively promote the well-being of users and society

    Beneficence obligates AI developers to design systems that do good and improve human welfare, not merely avoid harm.