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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.
Topic 2	Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and Canada’s Bill C-27.
Topic 3	Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 4	Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 5	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q78-Q83):

NEW QUESTION # 78
What is the 1956 Dartmouth summer research project on Al best known as?

A. A research project on the impacts of technology on society.
B. A meeting focused on the impacts of the launch of the first mass-produced computer.
C. A meeting focused on the founding of the Al field.
D. A research project to create a test for machine intelligence.

Answer: C

Explanation:
The 1956 Dartmouth summer research project on AI is best known as a meeting focused on the founding of the AI field. This conference is historically significant because it marked the formal beginning of artificial intelligence as an academic discipline. The term "artificial intelligence" was coined during this event, and it laid the foundation for future research and development in AI.
Reference: The AIGP Body of Knowledge highlights the importance of the Dartmouth Conference as a pivotal moment in the history of AI, which established AI as a distinct field of study and research.

NEW QUESTION # 79
All of the following are included within the scope of post-deployment Al 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 a control framework.
D. Dedicating experts to continually monitor the model output.

Answer: A

Explanation:
Post-deployment AI maintenance typically includes ensuring that all model components are subject to a control framework, dedicating experts to continually monitor the model output, and evaluating the need for audits under certain standards. However, defining thresholds to conduct new impact assessments is usually part of the initial deployment and ongoing governance processes rather than a maintenance activity.
Maintenance focuses more on the operational aspects of the AI system rather than setting new thresholds for impact assessments.
Reference: AIGP BODY OF KNOWLEDGE, sections discussing AI lifecycle management and post-deployment activities.

NEW QUESTION # 80
All of the following types of testing can help evaluate the performance of a responsible Al system EXCEPT?

A. Adversarial robustness.
B. Statistical sampling.
C. Risk probability/severity.
D. Decision analysis.

Answer: C

Explanation:
Risk probability/severity testing is not typically used to evaluate the performance of an AI system. While important for risk management, it does not directly assess an AI system's operational performance.
Adversarial robustness, statistical sampling, and decision analysis are all methods that can help evaluate the performance of a responsible AI system by testing its resilience, accuracy, and decision-making processes under various conditions. Reference: AIGP Body of Knowledge on AI Performance Evaluation and Testing.

NEW QUESTION # 81
A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address.
If they want to make this self-driving car "strong" Al, as opposed to "weak," the engineers would also need to ensure?

A. Thatthe Al has full human cognitive abilities that can independently decide where to take the driver.
B. That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.
C. That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.
D. That the Al can differentiate among ethnic backgrounds of pedestrians.

Answer: A

Explanation:
Strong AI, also known as artificial general intelligence (AGI), refers to AI that possesses the ability to understand, learn, and apply intelligence across a broad range of tasks, similar to human cognitive abilities.
For the self-driving car to be classified as "strong" AI, it would need to possess full human cognitive abilities to make independent decisions beyond pre-programmed instructions. Reference: AIGP BODY OF KNOWLEDGE and AI classifications.

NEW QUESTION # 82
Which of the following disclosures is NOT required for an EU organization that developed and deployed a high-risk Al system?

A. How an individual may contest a decision.
B. The human oversight measures employed.
C. The location(s) where data is stored.
D. The fact that an Al system is being used.

Answer: C

Explanation:
Under the EU AI Act, organizations that develop and deploy high-risk AI systems are required to provide several key disclosures to ensure transparency and accountability. These include the human oversight measures employed, how individuals can contest decisions made by the AI system, and informing individuals that an AI system is being used. However, there is no specific requirement to disclose the exact locations where data is stored. The focus of the Act is on the transparency of the AI system's operation and its impact on individuals, rather than on the technical details of data storage locations.

NEW QUESTION # 83
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ENSURED EXAM SUCCESS WITH IAPP AIGP EXAM QUESTIONS

Ensured Exam Success with IAPP AIGP Exam Questions