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AIGP Questions and Answers
Why is it important for AI governance professionals to understand
the different types of AI and ML models?
Ans: To evaluate which AI systems are appropriate for the organization,
ensure alignment with organizational needs, and effectively oversee the
development or selection of AI technologies.
Turing Test
Ans: Test to determine if a machine is intelligent. Considered intelligent
if its responses fooled an interviewer into thinking it was human.
Common element of AI definitions
Ans: There is no authoritative definition, but what you see are common
elements:
- technology
- autonomy
- human involvement (need for human input)
- output
True or False:
AI is a socio-technical system.
Ans: True.
AI influences society and society influences AI. That's why is so
important to include stakeholders that help you look at societal
influences of AI.
True or False:
There is risk in using AI.
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Ans: True.
One reason is its complexity.
AI systems are implemented in very complex environments, and that
complexity helps make more risk for those systems.
Another is that data changes over time, and as a result you may have to
change or upgrade your model.
What does OECD stand for and what is its AI Framework's
purpose?
Ans: OECD = Organization for Economic Cooperation and Development
Purpose: Helps organizations classify AI systems and examine risks
Structure: 5 dimensions for comprehensive AI assessment
What are the 5 dimensions of the OECD AI Framework?
Ans: 1. People and Planet
2. Economic Context
3. Data and Input
4. AI Modal
5. Tasks and Output
Memory tip: P-E-D-A-T (People, Economic, Data, AI, Tasks)
What does the "People and Planet" dimension examine?
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Ans: Focus: Identifies individuals and groups affected by the AI system
Key Areas:
• Human rights impacts
• Environmental effects
• Societal influences in general
Question it answers: "Who is impacted by this AI system?"
What aspects does the "Economic Context" dimension analyze?
Ans: Sector Environment: Financial, healthcare, education, etc.
Business Characteristics:
• Actual business function
• AI system model type
• Criticality to operations
Deployment Factors:
• How it was deployed
• Impact of deployment
• Scale of the system
Maturity Level: Newer systems = less testing; Mature systems = more
effective
What does the "Data and Input" dimension focus on?
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Ans: Data Types: What kind of data was used in the model
Expert Input: Human knowledge codified into rules
Key Characteristics:
• Data collection methods (machine vs. human)
• Data structure and format
• Collection methodology
What does the "AI Model" dimension cover?
Ans: Technical Type: What kind of AI model is it?
Model Construction: How the model is built
Model Usage: How the model is used
Focus: The technical architecture and implementation
What does the "Tasks and Output" dimension examine?
© 2025 All rights reserved
AIGP Questions and Answers
Why is it important for AI governance professionals to understand
the different types of AI and ML models?
Ans: To evaluate which AI systems are appropriate for the organization,
ensure alignment with organizational needs, and effectively oversee the
development or selection of AI technologies.
Turing Test
Ans: Test to determine if a machine is intelligent. Considered intelligent
if its responses fooled an interviewer into thinking it was human.
Common element of AI definitions
Ans: There is no authoritative definition, but what you see are common
elements:
- technology
- autonomy
- human involvement (need for human input)
- output
True or False:
AI is a socio-technical system.
Ans: True.
AI influences society and society influences AI. That's why is so
important to include stakeholders that help you look at societal
influences of AI.
True or False:
There is risk in using AI.
© 2025 All rights reserved
, 2 | Page
Ans: True.
One reason is its complexity.
AI systems are implemented in very complex environments, and that
complexity helps make more risk for those systems.
Another is that data changes over time, and as a result you may have to
change or upgrade your model.
What does OECD stand for and what is its AI Framework's
purpose?
Ans: OECD = Organization for Economic Cooperation and Development
Purpose: Helps organizations classify AI systems and examine risks
Structure: 5 dimensions for comprehensive AI assessment
What are the 5 dimensions of the OECD AI Framework?
Ans: 1. People and Planet
2. Economic Context
3. Data and Input
4. AI Modal
5. Tasks and Output
Memory tip: P-E-D-A-T (People, Economic, Data, AI, Tasks)
What does the "People and Planet" dimension examine?
© 2025 All rights reserved
, 3 | Page
Ans: Focus: Identifies individuals and groups affected by the AI system
Key Areas:
• Human rights impacts
• Environmental effects
• Societal influences in general
Question it answers: "Who is impacted by this AI system?"
What aspects does the "Economic Context" dimension analyze?
Ans: Sector Environment: Financial, healthcare, education, etc.
Business Characteristics:
• Actual business function
• AI system model type
• Criticality to operations
Deployment Factors:
• How it was deployed
• Impact of deployment
• Scale of the system
Maturity Level: Newer systems = less testing; Mature systems = more
effective
What does the "Data and Input" dimension focus on?
© 2025 All rights reserved
, 4 | Page
Ans: Data Types: What kind of data was used in the model
Expert Input: Human knowledge codified into rules
Key Characteristics:
• Data collection methods (machine vs. human)
• Data structure and format
• Collection methodology
What does the "AI Model" dimension cover?
Ans: Technical Type: What kind of AI model is it?
Model Construction: How the model is built
Model Usage: How the model is used
Focus: The technical architecture and implementation
What does the "Tasks and Output" dimension examine?
© 2025 All rights reserved
