CAIC Ethical Considerations in AI 2

Question 1

A healthcare AI system performs better on clinical data from urban hospitals than rural clinics. This is an example of which ethical concern?

Accepted Answer

Dataset bias

Answer

Dataset bias occurs when training data does not represent the full population, causing the model to underperform for underrepresented groups.

Question 2

Which principle requires that AI decision-making processes be understandable and auditable by humans?

Accepted Answer

Explainability

Answer

Explainability (also called interpretability) ensures that the reasoning behind AI decisions can be understood and reviewed by humans.

Question 3

An AI hiring tool systematically ranks female candidates lower for engineering roles. The most appropriate immediate action is to:

Accepted Answer

Audit the model for discriminatory patterns

Answer

Auditing the model identifies whether and how bias manifests before deciding on corrective technical steps.

Question 4

The concept of 'differential privacy' in AI systems primarily protects against:

Accepted Answer

Membership inference attacks that reveal individual training records

Answer

Differential privacy adds statistical noise so that outputs cannot be used to infer whether any specific individual's data was in the training set.

Question 5

Which ethical framework evaluates AI actions based on the greatest good for the greatest number of people?

Accepted Answer

Utilitarian ethics

Answer

Utilitarian ethics judges the morality of an action by its outcomes, favoring those that maximize overall well-being.

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