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| Section | Objectives |
|---|---|
| AI Risk Management and Impact Assessment | - Risk identification and mitigation
|
| AI Lifecycle Governance Implementation | - Operational governance controls
|
| Regulatory and Legal Frameworks for AI | - Global AI governance regulations
|
| Foundations of AI Systems and Governance | - AI system concepts, lifecycle, and terminology
|
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NEW QUESTION # 101
What is the main purpose of accountability structures under the Govern function of the NIST Al Risk Management Framework?
Answer: D
Explanation:
The NIST AI Risk Management Framework's Govern function emphasizes the importance of establishing accountability structures that empower and train cross-functional teams. This is crucial because cross-functional teams bring diverse perspectives and expertise, which are essential for effective AI governance and risk management. Training these teams ensures that they are well-equipped to handle their responsibilities and can make informed decisions that align with the organization's AI principles and ethical standards. Reference: NIST AI Risk Management Framework documentation, Govern function section.
NEW QUESTION # 102
A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant's education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.
Which of the following laws is NOT relevant to this use case?
Answer: D
Explanation:
The U.S. mortgage company's AI platform relates to housing and credit, making the Fair Housing Act (A), Fair Credit Reporting Act (B), and Equal Credit Opportunity Act (C) relevant. Title VII of the Civil Rights Act of 1964 deals with employment discrimination and is not directly relevant to the mortgage application context (D).
NEW QUESTION # 103
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
What are the roles and responsibilities of deployers of a proprietary model?
Answer: A,B,C
Explanation:
Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance.
From theAI Governance in Practice Report 2025:
"Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards." (p. 11-12)
"Operational governance... includes performance monitoring protocols, incident management plans, and regulatory oversight." (p. 12) Thus:
✅A. Ethical testing- Required to mitigate misuse and unintended harms.
❌B. Ethical design- Belongs todevelopers/providers, not deployers.
✅C. Technical performance- Deployers must ensure that AI performs as expected.
❌D. System documentation- This is theprovider'sobligation.
✅E. Regulatory compliance- Deployers must ensure system use complies with applicable laws.
NEW QUESTION # 104
Under the EU AI Act, which of the following compliance actions applies only to General Purpose AI models with systemic risk?
Answer: A
Explanation:
Under the EU AI Act, General-Purpose AI models with systemic risk are required to publish a detailed summary of the data used to train the model. This transparency measure ensures that users and regulatory bodies can assess the model's data sources and potential biases.
NEW QUESTION # 105
Under the EU AI Act, which category includes AI systems that pose unacceptable risks and are generally prohibited?
Answer: C
NEW QUESTION # 106
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