Question 1 of 10 · Understanding the foundations of AI governance
What should an AI policy say about third-party AI tools?
Policy should route third-party tools through assessment and approval. Blanket bans drive shadow use, and reviews or price are not risk criteria.
Question 2 of 10 · Understanding how laws, standards and frameworks apply to AI
Under the EU AI Act, which deployers must carry out a fundamental rights impact assessment?
Article 27 applies to public bodies, private entities providing public services, and deployers using AI for creditworthiness or life and health insurance pricing. It is not universal and does not target providers.
Question 3 of 10 · Understanding how to govern AI development
A developer wants to use customer support transcripts to train a model. What should be checked first?
Reusing personal data for training requires a lawful basis and compatibility with the original purpose and notices. Format, speed and vendor advice are not the test.
Question 4 of 10 · Understanding how to govern AI deployment and use
Before deploying a vendor's AI system, what should the deployer confirm?
Using a system outside its intended use invalidates the vendor's testing and can create new risks. Popularity, design and price are not readiness criteria.
Question 5 of 10 · Understanding the foundations of AI governance
Which factor most increases the risk of an AI use case?
Decisions affecting access to opportunities or essential services carry high potential for harm, which is why many laws treat them as high-risk. Hosting and build choices are secondary.
Question 6 of 10 · Understanding how laws, standards and frameworks apply to AI
Why must organizations track the jurisdictions where their AI systems are used?
Laws such as the EU AI Act apply based on where systems are placed on the market or outputs used, not only where the developer is. Hosting location is a separate question.
Question 7 of 10 · Understanding how to govern AI development
Which question belongs at the start of AI development rather than at release?
Governance starts by asking whether AI is needed and appropriate, since simpler methods may carry less risk. The other questions come near or after release.
Question 8 of 10 · Understanding how to govern AI deployment and use
What is 'automation bias'?
Automation bias means people accept automated outputs without enough scrutiny, weakening human oversight. It is a human behavior, not a data or vendor issue.
Question 9 of 10 · Understanding the foundations of AI governance
Why is AI literacy across the workforce important for governance?
Governance depends on people recognizing risk and following rules in daily use, and the EU AI Act requires AI literacy measures. Literacy supports, but does not replace, committees and testing.
Question 10 of 10 · Understanding how laws, standards and frameworks apply to AI
Under the EU AI Act, who carries most of the obligations for a high-risk AI system?
Providers carry the main obligations: risk management, data governance, documentation and conformity assessment. Deployers and importers have narrower duties, and authorities supervise rather than comply.
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Understanding the foundations of AI governance
Understanding how laws, standards and frameworks apply to AI
Understanding how to govern AI development
Understanding how to govern AI deployment and use
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