Artificial Intelligence AI Ethics and Responsible AI 2

Question 1

What is 'model fairness' in AI, and why does it matter?

Accepted Answer

Ensuring the model's predictions are equitable across demographic groups and do not perpetuate systemic discrimination

Answer

Model fairness ensures that AI decisions do not systematically disadvantage protected groups (e.g., by race, gender, age), promoting equitable outcomes in consequential applications.

Question 2

What is the 'right to explanation' under GDPR in the context of automated AI decisions?

Accepted Answer

The right of individuals to receive meaningful information about the logic behind automated decisions that significantly affect them

Answer

GDPR Article 22 grants individuals the right not to be subject to solely automated decisions with significant effects, and to obtain meaningful explanations of the decision logic.

Question 3

What is 'model auditing' in responsible AI practices?

Accepted Answer

Systematically evaluating an AI model for bias, accuracy, safety, and compliance with ethical standards

Answer

Model auditing involves third-party or internal evaluation of AI systems to identify unfair outcomes, errors, compliance gaps, or potential harms before and after deployment.

Question 4

What does 'transparency' require of AI developers and deployers?

Accepted Answer

Being open about how AI systems work, what data they use, their limitations, and potential risks

Answer

Transparency requires that AI developers disclose how systems are built, what they can and cannot do, and where they may fail, enabling informed use and external scrutiny.

Question 5

What is 'data minimization' as it relates to responsible AI?

Accepted Answer

Collecting and retaining only the personal data strictly necessary for the intended AI application

Answer

Data minimization reduces privacy risk by limiting data collection and retention to what is genuinely needed, aligning with GDPR and privacy-by-design principles.

Artificial Intelligence Practice Test

Artificial Intelligence Practice Test

Artificial Intelligence AI Ethics and Responsible AI 2