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| Section | Weight | Objectives |
|---|---|---|
| Governance of AI Deployment and Use | 21–25% | - Incident response, accountability and audit - Selection, procurement and third-party management - Lifecycle maintenance, decommissioning and updates - Implementation, monitoring and ongoing oversight |
| Foundational Concepts of AI Governance | 24–28% | - Impacts, risks and benefits of AI systems - Fundamental AI definitions, types and characteristics - Principles of responsible, ethical and trustworthy AI - Governance frameworks and core concepts |
| Laws, Regulations, Standards and Frameworks | 24–28% | - Alignment with data protection and privacy laws - International standards (ISO 42001, NIST AI RMF, etc.) - Global and regional regulations (EU AI Act, US, etc.) - Sector-specific requirements and compliance obligations |
| Governance of AI Development | 21–25% | - Requirements gathering, risk assessment and mitigation - Governance through design and lifecycle management - Testing, validation, documentation and transparency - Model management, version control and quality assurance |
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NEW QUESTION # 144
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,C,E
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 2024:
"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 # 145
All of the following are obligations of providers under the EU AI Act EXCEPT:
Answer: B
Explanation:
Under the EU AI Act, providers of high-risk AI systems are required to implement a quality management system (QMS) that includes various components such as risk management, data governance, post-market monitoring, and record-keeping. However, the responsibility for ensuring human oversight in accordance with the instructions for use primarily falls on the deployers of the AI system, not the providers. Deployers are the entities that operate or use the AI system within their scope of authority and are responsible for implementing the necessary human oversight measures as specified by the provider.
NEW QUESTION # 146
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT?
Answer: C
Explanation:
When monitoring the functional performance of a model deployed into production, concerns typically include feature drift, model drift, and data loss. Feature drift refers to changes in the input features that can affect the model's predictions. Model drift is when the model's performance degrades over time due to changes in the data or environment. Data loss can impact the accuracy and reliability of the model. However, system cost, while important for budgeting and financial planning, is not a direct concern when monitoring the functional performance of a deployed model. Reference: AIGP Body of Knowledge on Model Monitoring and Maintenance.
NEW QUESTION # 147
According to the EU Al Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?
Answer: A
Explanation:
According to the EU AI Act, providers of high-risk AI systems are required to register with an EU oversight agency before these systems can be placed on the market. This requirement is part of the Act's framework to ensure that high-risk AI systems comply with stringent safety, transparency,and accountabilitystandards. High- risk systems are those that pose significant risks to health, safety, or fundamental rights. Registration with oversight agencies helps facilitate ongoing monitoring and enforcement of compliance with the Act's provisions. Systems categorized under other criteria, such as those trained on sensitive personal data or exhibiting "strong" general intelligence, also fall under scrutiny but are primarily covered under different regulatory requirements or classifications.
NEW QUESTION # 148
A US company has developed an Al system, CrimeBuster 9619, that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime if released from prison.
When considering expanding to the EU market, this type of technology would?
Answer: A
Explanation:
Under the EU AI Act, high-risk AI systems like CrimeBuster 9619 would require a detailed conformity assessment before being deployed in the EU market. This assessment ensures that the AI system complies with all relevant regulations and standards, addressing potential risks related to privacy, security, and discrimination. The company would not need to register the tool with the EU database (A), seek approval from an EU authority (B), or face a ban (D) as long as it meets the necessary conformity requirements.
NEW QUESTION # 149
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