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IAPP AIGP Exam Syllabus Topics:

Section	Objectives
AI Governance Management	- Life Cycle Management 1. Third-party management 2. Auditing and Monitoring 3. Incident Management - Emerging Issues 1. Future Trends 2. Generative AI 3. Ethical AI
AI Governance Implementation	- Data Governance for AI 1. Data Privacy and Protection 2. Data Quality and Integrity - Organizational Governance 1. Policies and Procedures 2. Roles and Responsibilities (RACI) 3. Governance Structures
AI Laws, Regulations, and Standards	- Regional and National Regulations 1. National AI Strategies 2. EU AI Act 3. US State and Federal Regulations - Global AI Frameworks 1. UNESCO AI Ethics 2. OECD AI Principles 3. ISO/IEC Standards
AI Risk Management	- Risk Frameworks and Standards 1. ISO 31000 Risk Management 2. NIST AI Risk Management Framework (RMF) - Operationalizing Risk Management 1. Risk identification and assessment 2. Risk mitigation strategies
Foundations of AI Governance	- Impacts of AI 1. Benefits of AI 2. Risks of AI - AI Governance Fundamentals 1. Understanding the AI Development Life Cycle 2. Defining AI and its different approaches 3. Key AI Terminology and Concepts

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q122-Q127):

NEW QUESTION # 122
All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT:

A. To implement social scoring.
B. To detect an individual's intent for law enforcement purposes.
C. To promote equitable distribution of welfare benefits.
D. To manage border control.

Answer: A

Explanation:
The EU AI Act explicitly prohibits AI systems used for social scoring due to the significant risks to fundamental rights.

NEW QUESTION # 123
A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third party developers, they're considering two options:
Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.
Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.
Option A would be the best choice for the company because:

A. It is less expensive to run.
B. It can handle voice commands and is more suitable for phone-based customer support.
C. It is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.
D. It may be better suited for applications requiring customization.

Answer: D

Explanation:
Open-source models can be customized extensively, making them better suited for applications requiring specific adaptations.

NEW QUESTION # 124
All of the following are included within the scope of post-deployment AI maintenance EXCEPT:

A. Defining thresholds to conduct new impact assessments.
B. Evaluating the need for an audit under certain standards.
C. Ensuring that all model components are subject to a control framework.
D. Dedicating experts to continually monitor the model output.

Answer: C

Explanation:
Ensuring all model components are subject to a control framework is typically addressed during development and governance setup, not specifically post-deployment maintenance.

NEW QUESTION # 125
What is the most important reason to document the results of AI testing?

A. To create a verifiable audit trail.
B. To identify areas for red-teaming focus.
C. To limit the need for future testing cycles.
D. To support post-deployment maintenance.

Answer: A

Explanation:
Testing results need to bedocumented thoroughlyto ensuretraceability, accountability, and compliance.
This is central to enabling audits, investigations, or regulatory inquiries into the system's development and performance.
From theAI Governance in Practice Report 2024:
"Documentation and recordkeeping are essential components... to demonstrate AI system compliance, trace system behavior, and support audits and conformity assessments." (p. 34-35)
"Maintaining audit trails across development and deployment enables transparency and accountability." (p.
12)
* AandBare benefits, but not theprimary governance justification.
* D- Limiting future testing is not a recommended goal.

NEW QUESTION # 126
What is the term for an algorithm that focuses on making the best choice achieve an immediate objective at a particular step or decision point, based on the available information and without regard for the longer-term best solutions?

A. Single-lane.
B. Optimized.
C. Greedy.
D. Efficient.

Answer: C

Explanation:
A greedy algorithm is one that makes the best choice at each step to achieve an immediate objective, without considering the longer-term consequences. It focuses on local optimization at each decision point with the hope that these local solutions will lead to an optimal global solution. However, greedy algorithms do not always produce the best overall solution for certain problems, but they are useful when an immediate, locally optimal solution is desired. Reference: AIGP Body of Knowledge, algorithm types section.

NEW QUESTION # 127
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