Ethical AI Practices & Data Governance Flashcards
7 cards from real AML practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Ethical AI Practices & Data Governance flashcards as text
A company trains a facial recognition model and discovers it has 95% accuracy on light-skinned individuals but only 78% accuracy on dark-skinned individuals. This is an example of which type of bias?
Answer: Representation bias
Representation bias occurs when training data underrepresents certain demographic groups, causing disparate model performance across subpopulations.
Under GDPR, what is the maximum timeframe within which a data controller must notify a supervisory authority of a personal data breach that risks individuals' rights?
Answer: 72 hours
GDPR Article 33 requires controllers to notify the supervisory authority of a reportable breach within 72 hours of becoming aware of it.
Which governance principle ensures that AI decisions can be traced back to their data sources, model parameters, and logic used?
Answer: Traceability
Traceability is the governance property that enables auditors to follow the chain from inputs, through model logic, to outputs and decisions.
A model trained to predict loan defaults is found to use zip code as a proxy for race. Under US fair lending law, this is classified as:
Answer: Disparate impact
Using a facially neutral variable that correlates with a protected characteristic and produces discriminatory outcomes constitutes disparate impact discrimination.
Which data anonymization technique adds calibrated statistical noise to query results to prevent re-identification while preserving aggregate statistical utility?
Answer: Differential privacy
Differential privacy provides a mathematically rigorous privacy guarantee by injecting carefully calibrated noise, bounding any single record's contribution to query outputs.
In the context of AI governance, a 'model card' is primarily designed to:
Answer: Communicate intended uses, limitations, and fairness metrics to stakeholders
Model cards, introduced by Mitchell et al., are structured documentation artifacts that disclose a model's intended use, performance metrics across subgroups, and known limitations.
The 'right to explanation' in automated decision-making, as referenced in GDPR Article 22, most directly supports which AI ethics principle?
Answer: Transparency
The right to explanation supports transparency by requiring that individuals subject to automated decisions be given meaningful information about the logic involved.