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NIST AI RMF Training: Running Govern, Map, Measure and Manage on Real Systems

The Generative AI Profile and the Risk Categories It Adds

Quiz: The Generative AI Profile and the Risk Categories It Adds

Using the AI RMF Playbook and Published Crosswalks

Quiz: Using the AI RMF Playbook and Published Crosswalks

Mapping AI RMF Outcomes to ISO 42001 Clauses

Quiz: Mapping AI RMF Outcomes to ISO 42001 Clauses

Mapping AI RMF Outcomes to EU AI Act Articles

Quiz: Mapping AI RMF Outcomes to EU AI Act Articles

Documenting Current, Target and Gap Profiles

Quiz: Documenting Current, Target and Gap Profiles

Reporting AI Risk to Executives in AI RMF Language

Quiz: Reporting AI Risk to Executives in AI RMF Language

Final exam: NIST AI RMF Training: Running Govern, Map, Measure and Manage on Real Systems

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Final exam: NIST AI RMF Training: Running Govern, Map, Measure and Manage on Real Systems

NIST AI RMF Training: Running Govern, Map, Measure and Manage on Real Systems
Final exam: NIST AI RMF Training: Running Govern, Map, Measure and Manage on Real Systems

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Question 1 of 10

1. Question

The NIST AI Risk Management Framework is intended to assist organisations in managing the risks associated with artificial intelligence systems.

The framework is only applicable to organisations in the United States.
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The framework is a mandatory regulatory requirement for all AI developers.
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The framework is a practical tool for managing AI-related risks.
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The framework was developed by the European Commission.
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Question 2 of 10

2. Question

What is one key aspect of transparency in AI systems according to the AI RMF 1.0 framework?

Ensuring that AI systems are accessible to all users regardless of technical ability
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Documenting how AI models make decisions including data sources and algorithms
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Providing AI systems with automatic learning capabilities
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Limiting the amount of data used by AI systems to reduce complexity
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Question 3 of 10

3. Question

What is a key requirement for AI policies according to the lesson text?

They must be reviewed annually by external auditors
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They should define roles, responsibilities, and decision-making processes
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They must include financial investment plans for AI development
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They should focus solely on technical implementation details
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Question 4 of 10

4. Question

What is one reason why assigning owners to AI subcategories is essential for governance?

It allows for easier budget allocation
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It prevents gaps in responsibility
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It reduces the need for documentation
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It eliminates the requirement for regulatory compliance
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Question 5 of 10

5. Question

What is the primary purpose of the Map phase in the NIST AI Risk Management Framework?

To implement AI systems in operational environments
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To establish the context, purpose, and assumptions that guide AI development
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To monitor AI system performance after deployment
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To train staff on AI governance procedures
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Question 6 of 10

6. Question

What is the primary purpose of the Map phase in the NIST AI Risk Management Framework?

To implement AI systems in an organisation
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To evaluate the cost-benefit ratio of AI deployment
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To identify risks, benefits, and affected people associated with an AI system
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To ensure compliance with international AI standards
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Question 7 of 10

7. Question

What is a key focus when measuring AI systems for compliance with the EU AI Act?

The technical accuracy of the AI model
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Whether the system has been reviewed against prohibited categories
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The cost of implementing the AI system
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The speed of data processing
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Question 8 of 10

8. Question

What is the primary purpose of assessing validity in AI systems?

To ensure the system operates efficiently under various conditions
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To confirm that the AI delivers accurate and meaningful results for its intended use
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To identify any unintentional bias in the data used by the AI
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To verify that the AI system complies with EU AI Act regulations
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Question 9 of 10

9. Question

What is the primary purpose of managing residual risk in the final phase of the NIST AI RMF?

To completely eliminate all AI-related risks
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To ensure AI systems operate within defined risk tolerances
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To replace earlier risk assessment phases
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To reduce the number of AI systems in use
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Question 10 of 10

10. Question

What is one of the new risk categories introduced by generative AI systems that involves models producing false or misleading information?

Prompt injection
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Data contamination
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Hallucinations
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Output filtering
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