CAIC CAIC AI Governance & Compliance

Question 1

Which US federal framework provides guidelines for managing AI risks in organizations?

Accepted Answer

NIST AI Risk Management Framework (AI RMF)

Answer

ISO 27001

Answer

GDPR Article 22

Answer

SOC 2 Type II

Question 2

What is 'algorithmic accountability' in AI governance?

Accepted Answer

The obligation to explain, audit, and take responsibility for automated decision outcomes

Answer

Tracking compute costs of AI model training

Answer

Ensuring AI code is version-controlled

Answer

Monitoring API rate limits on AI services

Question 3

Under the EU AI Act, which category describes AI systems used in critical infrastructure that pose significant risk?

Accepted Answer

High risk

Answer

Minimal risk

Answer

Limited risk

Answer

Unacceptable risk

Question 4

What is the purpose of an AI model card in responsible AI deployment?

Accepted Answer

To document a model's intended use, performance metrics, limitations, and ethical considerations

Answer

To store API authentication credentials securely

Answer

To define cloud infrastructure cost allocation

Answer

To track user licensing agreements

Question 5

Which principle of responsible AI ensures that AI system decisions can be understood and traced by humans?

Accepted Answer

Explainability

Answer

Scalability

Answer

Redundancy

Answer

Interoperability

Question 6

A CAIC consultant discovers an AI hiring tool disproportionately rejects candidates from certain demographic groups. This is an example of:

Accepted Answer

Algorithmic bias

Answer

Model overfitting

Answer

Data pipeline latency

Answer

Concept drift