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Ethical AI Practices & Data Governance Flashcards

7 cards from real AML 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 AI Practices & Data Governance flashcards as text
  1. A data governance team needs to classify customer transaction records under a tiered sensitivity framework. Which classification level would MOST appropriately apply to full credit card numbers?

    Answer: Restricted

    Full PAN (Primary Account Numbers) fall under the most sensitive 'Restricted' or equivalent tier due to PCI-DSS requirements and high re-identification risk.

  2. Which fairness metric requires that the proportion of positive predictions be equal across protected groups, regardless of actual base rates?

    Answer: Demographic parity

    Demographic parity (also called statistical parity) requires the model's positive prediction rate to be equal across all demographic groups.

  3. An organization implements a policy requiring all ML models affecting employment decisions to be reviewed by a diverse panel before deployment. This control primarily addresses which risk?

    Answer: Algorithmic bias and discriminatory outcomes

    Diverse review panels are a governance control specifically designed to detect and mitigate embedded biases before a model causes discriminatory employment decisions.

  4. Under the NIST AI Risk Management Framework (AI RMF), which core function is responsible for identifying, analyzing, and prioritizing AI risks?

    Answer: MAP

    The MAP function in the NIST AI RMF focuses on categorizing and identifying AI risks in their organizational and societal context.

  5. A practitioner uses SHAP (SHapley Additive exPlanations) values to explain a credit scoring model's individual predictions. This falls under which category of explainability?

    Answer: Local post-hoc explainability

    SHAP produces local, post-hoc explanations by attributing each feature's contribution to a specific individual prediction after the model is trained.

  6. Which principle of data governance ensures that data is accessible to authorized users in the right format at the right time?

    Answer: Data availability

    Data availability ensures that authorized stakeholders can access accurate, complete data when needed for decision-making or model training.

  7. An AI system used in healthcare automatically flags patients for high-risk interventions. Ethically, the MOST critical requirement for this system is:

    Answer: Ensuring meaningful human oversight before acting on flags

    In high-stakes healthcare settings, human-in-the-loop oversight is ethically required to prevent automated errors from directly harming patients.