DSE Ethical Considerations in AI 4

Question 1

Which of the following is an example of 'automation bias' in an AI-assisted medical diagnostic system?

Accepted Answer

Clinicians over-rely on the AI recommendation and skip their own assessment

Answer

Automation bias is the tendency for humans to defer to automated systems even when their own judgment would yield a better result.

Question 2

The principle of 'data minimization' in AI ethics states that:

Accepted Answer

Only data strictly necessary for the stated purpose should be collected

Answer

Data minimization reduces privacy risks by ensuring organizations collect only the data they genuinely need, limiting exposure in case of a breach.

Question 3

A loan approval model achieves equal accuracy across racial groups but still denies loans to minority applicants at a higher rate. Which fairness metric captures this disparity?

Accepted Answer

Demographic parity (statistical parity)

Answer

Demographic parity measures whether the positive outcome rate is equal across groups, regardless of model accuracy within groups.

Question 4

When deploying an AI system in a criminal sentencing context, which concern is MOST ethically critical?

Accepted Answer

Potential for the model to perpetuate systemic racial bias in sentencing

Answer

Criminal sentencing has irreversible consequences on individuals' lives, making fairness and bias the paramount ethical concern.

Question 5

Which practice helps ensure accountability when an AI system causes harm?

Accepted Answer

Maintaining detailed audit logs of model decisions and data lineage

Answer

Audit logs create a traceable record of decisions and data flows, enabling post-hoc investigation and accountability when AI causes harm.

DSE - Data Science Practice Test

DSE - Data Science Practice Test

DSE Ethical Considerations in AI 4