DSE Ethical Considerations in AI 2

Question 1

A hiring algorithm trained on historical data consistently rates female applicants lower for engineering roles. This is best described as an example of:

Accepted Answer

Representational bias

Answer

Representational bias occurs when training data reflects historical inequalities, causing the model to perpetuate discrimination.

Question 2

Which principle in the EU AI Act classifies AI systems used in employment decisions as 'high-risk'?

Accepted Answer

Proportionality of risk to impact on fundamental rights

Answer

The EU AI Act classifies systems as high-risk based on their potential to adversely affect fundamental rights such as employment and livelihood.

Question 3

Differential privacy protects individual data by:

Accepted Answer

Adding calibrated statistical noise to query outputs

Answer

Differential privacy adds carefully calibrated noise so aggregate query results cannot reveal individual-level information.

Question 4

A data scientist discovers a production model produces biased outcomes but faces pressure from management to delay fixes. The most ethical course of action is to:

Accepted Answer

Document findings and escalate through formal channels

Answer

Documenting and escalating ensures accountability, creates an audit trail, and upholds professional responsibility.

Question 5

What does 'explainability' mean in the context of AI ethics?

Accepted Answer

Providing understandable reasons for a model's specific predictions

Answer

Explainability means stakeholders can understand why a model produced a particular output, enabling scrutiny and trust.

DSE - Data Science Practice Test

DSE - Data Science Practice Test

DSE Ethical Considerations in AI 2