Ethical Decision Making and Integrity Questions

Probe the candidate's approach to ethical dilemmas, integrity, and principled decision making. Candidates should provide examples where they prioritized honesty, transparency, user safety, or other ethical principles, including situations where customer needs conflicted with company interests, or where following the easy path would have compromised values. Assess how they identify ethical risks, escalate concerns, balance competing stakeholder interests ethically, and incorporate fairness, compliance, and long term reputational considerations into technical or product decisions. Look for reflection on trade offs and how they communicated principled positions under pressure.

MediumTechnical

0 practiced

A vendor offers a large dataset that may contain personally identifiable information and has unclear consent provenance. The company wants to onboard quickly to accelerate a product. What legal, technical, and contractual checks would you require before allowing the dataset for model training, and what safeguards or transformations would you insist on?

HardTechnical

0 practiced

Critically evaluate the statement: 'Removing protected attributes from training data eliminates bias.' Explain why this approach can fail technically (proxy variables, sample bias), discuss legal or practical nuances, and propose robust alternative approaches to mitigate bias that consider both technical and organizational measures.

HardBehavioral

0 practiced

Describe a time when you chose to delay delivery or forgo revenue because you believed proceeding would be unethical. Explain what risks you assumed personally and for the product, how you justified the decision to stakeholders, and what you learned about influencing organizational values and maintaining credibility.

EasyTechnical

0 practiced

Explain what 'informed consent' means for datasets used in machine learning. As a data scientist, how would you verify that consent was obtained for a dataset, and what technical or process controls would you implement when consent is partial, expired, or unclear?

EasyBehavioral

0 practiced

How do you keep up with developments in data ethics, algorithmic fairness, and privacy law as a data scientist? Provide specific resources (conferences, research groups, newsletters), communities you participate in, and one recent change you adopted in your work because of new guidance.

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