The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems. The NIST Artificial Intelligence Risk Management Framework Foundation is a certification intended for individuals seeking to validate their knowledge of the NIST Artificial Intelligence Risk Management Framework.
This exam includes topics such as Scope of the NIST AI Risk Management Framework (AI RMF), Framing Risk (Risk Measurement, Risk Tolerance, Risk Prioritization, and Organizational Integration and Management of Risk), AI Risks and Trustworthiness (Valid and Reliable, Safe, Secure and Resilient, Accountable and Transparent, Explainable and Interpretable, Privacy-Enhanced, and Fair – with Harmful Bias Managed), Effectiveness of the AI RMF, AI RMF Core (Govern, Map, Measure, and Manage), and AI RMF Profiles.
The NIST Artificial Intelligence Risk Management Framework Foundation certification exam is an online, closed-book, and remotely-proctored exam. This exam consists of 40 multiple-choice questions. The passing score is 70%. Candidates will have 60 minutes to complete the exam. Validate your knowledge of the NIST Artificial Intelligence Risk Management Framework and advance your career. Register for your online exam now!
Exam code |
ITC-108 |
Launch date |
April 12, 2024 |
Exam description |
The NIST Artificial Intelligence Risk Management Framework Foundation exam tests the candidate knowledge of the NIST Artificial Intelligence Risk Management Framework. |
Current version |
v1 (April 12, 2024) |
Exam format |
Multiple choice; computer-based; closed book; online proctored exam |
Number of questions |
40 questions |
Passing score |
70% (28 out of 40) |
Exam duration |
60 minutes |
Level |
Foundation |
Languages |
English |
Exam description |
This exam includes topics such as Scope of the NIST AI Risk Management Framework (AI RMF), Framing Risk (Risk Measurement, Risk Tolerance, Risk Prioritization, and Organizational Integration and Management of Risk), AI Risks and Trustworthiness (Valid and Reliable, Safe, Secure and Resilient, Accountable and Transparent, Explainable and Interpretable, Privacy-Enhanced, and Fair – with Harmful Bias Managed), Effectiveness of the AI RMF, AI RMF Core (Govern, Map, Measure, and Manage), and AI RMF Profiles. |
RECOMMENDED HOURS OF STUDY |
16 hours |
BLOOM'S TAXONOMY |
Level 1 (Remembering), Level 2 (Understanding) and Level 3 (Applying) |
Recommended reading |
• NIST Artificial Intelligence Risk Management Framework |
Prerequisites |
There are no prerequisites for this certification |
Recommended experience |
Six months of work experience in Artificial Intelligence |
Validity period |
Lifetime |
Domains | Weight |
---|---|
1. Scope of the NIST AI Risk Management Framework (AI RMF) |
10% |
2. Terms and definitions |
15% |
3. AI Risks and Trustworthiness |
25% |
4. AI RMF Core (Govern, Map, Measure, and Manage) |
25% |
5. AI RMF Profiles |
25% |
Total | 100% |
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