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IAPP AIGP Exam Syllabus Topics:

Section	Objectives
Topic 1: AI Governance Management	- Emerging Issues 1. Future Trends 2. Ethical AI 3. Generative AI - Life Cycle Management 1. Third-party management 2. Auditing and Monitoring 3. Incident Management
Topic 2: AI Governance Implementation	- Data Governance for AI 1. Data Quality and Integrity 2. Data Privacy and Protection - Organizational Governance 1. Policies and Procedures 2. Governance Structures 3. Roles and Responsibilities (RACI)
Topic 3: AI Risk Management	- Risk Frameworks and Standards 1. NIST AI Risk Management Framework (RMF) 2. ISO 31000 Risk Management - Operationalizing Risk Management 1. Risk mitigation strategies 2. Risk identification and assessment
Topic 4: AI Laws, Regulations, and Standards	- Regional and National Regulations 1. US State and Federal Regulations 2. EU AI Act 3. National AI Strategies - Global AI Frameworks 1. ISO/IEC Standards 2. OECD AI Principles 3. UNESCO AI Ethics
Topic 5: Foundations of AI Governance	- AI Governance Fundamentals 1. Understanding the AI Development Life Cycle 2. Key AI Terminology and Concepts 3. Defining AI and its different approaches - Impacts of AI 1. Risks of AI 2. Benefits of AI

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知識の時代の到来により、私たちはすべて、AIGPなどの専門的な証明書を必要としています。したがって、有用な実践教材を選択する正しい判断を下すことは非常に重要です。ここでは、心から誠実にAIGP実践教材をご紹介します。 AIGPスタディガイドを選択した試験受験者の合格率は98％を超えているため、AIGPの実際のテストは簡単なものになると確信しています。

IAPP Certified Artificial Intelligence Governance Professional 認定 AIGP 試験問題 (Q122-Q127):

質問 # 122
Each of the following actors are typically engaged in the AI development life cycle EXCEPT:

A. Legal and privacy governance experts.
B. Socio-cultural and technical experts.
C. Government regulators.
D. Data architects.

正解：C

解説：
Government regulators oversee compliance but are not typically involved directly in the AI development life cycle.

質問 # 123
An AI start-up is developing a system for automated loan approvals. The team wants to minimize risks of bias and regulatory non-compliance. They have already identified potential stakeholders, including regulators and consumer groups.
What is the most appropriate sequence of next steps?

A. Launch a small-scale pilot,
Gather user feedback,
Afterward analyze harms.
B. Perform a probability/severity analysis,
Apply a risk mitigation hierarchy to address the most severe risks,
Conduct pre-deployment pilot testing.
C. Enable explainability tools to reassure users,
Launch pilot,
Map risks during deployment.
D. Conduct harm analysis,
Benchmark system performance,
Proceed to deployment if the system performs similarly.

正解：B

解説：
The correct answer is C because it follows a structured, risk-based AI governance approach aligned with best practices and regulatory expectations. AI governance frameworks emphasize identifying and assessing risks through probability and severity analysis before deployment. This allows organizations to prioritize the most critical risks, such as bias and discrimination in loan approvals. Applying a risk mitigation hierarchy ensures that controls are implemented proactively rather than reactively. Only after risks are assessed and mitigated should pilot testing occur to validate system performance in a controlled environment. Other options either delay risk assessment until after deployment or focus on limited aspects like benchmarking or explainability without addressing core risk management principles. A proactive, risk-first approach is essential for compliance, fairness, and responsible AI deployment.

質問 # 124
In 2025, which U.S. agency ordered companies to provide information about the safety of their AI companion chatbots?

A. The Central Intelligence Agency CIA
B. The Federal Trade Commission FTC
C. The Federal Communications Commission FCC
D. The Department of Justice DOJ

正解：B

解説：
The correct answer is C, the Federal Trade Commission. The FTC plays a central role in U.S. AI governance by enforcing consumer protection and unfair or deceptive practices laws. In the context of AI systems such as companion chatbots, the FTC has authority to investigate risks related to user harm, transparency, safety, and misleading claims. AI governance frameworks emphasize regulatory oversight where AI systems may impact individuals psychologically, financially, or socially. Agencies like the FTC focus on ensuring that companies deploying AI systems do not cause harm through unsafe or deceptive practices and that they provide adequate disclosures about risks and system behavior. This aligns with broader AI governance principles of accountability, transparency, and risk management highlighted in the AI Governance in Practice Report 2024 , which stresses the importance of regulatory involvement in managing AI-related risks.

質問 # 125
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
All of the following are obligations of the company as a data controller when implementing its AI system EXCEPT?

A. Allowing data subject access requests (DSARs)
B. Implementing technical and organizational measures
C. Conducting a Data Protection Impact Assessment (DPIA) / Privacy Impact Assessment (PIA)
D. Ensuring that third-party processors are based in the same country as the company

正解：D

解説：
The correct answer is A. While location of processors may have implications (such as for data transfers under GDPR), there is no absolute requirement that third-party processors be based in the same country.
From the AI Governance in Practice Report 2024 and ILT Guide:
"Data controllers are responsible for ensuring that third-party processors have adequate protections, but not necessarily that they reside in the same jurisdiction. What is required is legal safeguards (e.g., SCCs) for international transfers, not same-country location." In contrast, DPIAs, DSARs, and implementation of technical/organizational safeguards are explicitly required under GDPR and responsible AI frameworks.

質問 # 126
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

A. GPUs can run every task on a computer, making them more robust than CPUs.
B. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
C. GPUs can access memory quickly, resulting in lower latency than CPUs.
D. GPUs run many tasks concurrently, resulting in faster processing.

正解：D

解説：
GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference:
AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.

質問 # 127
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