AIGP Exam Questions Well Answered Latest Update 2025
AI - Answers Machines performing tasks that normally require human intelligence
Turing Test - Answers A test proposed by Alan Turing in which a machine would be judged
"intelligent" if the software could use conversation to fool a human into thinking it was talking
with a person instead of a machine.
Machine Learning - Answers The process of training machines to display AI behavior
Supervised learning - Answers Labeled data grouped or classified into categories via the AI
system (Text recognition/SPAM filter)
Unsupervised Learning - Answers Unlabeled data, typically used for pattern detection(banking)
Reinforcement learning - Answers AI system is rewarded for performing a task well and
penalized for not performing it well(Self-driving cars)
OECD Framework: People and Planet - Answers It looks at the individuals and groups that may
be impacted by the AI(Privacy)
OECD Framework: Economic context dimension - Answers Looks at the economic sector that
the AI operates (financial, healthcare, education, etc)
OECD Framework: Data and input - Answers What type of data, any expert input, how was the
data collected/used
OECD Framework: AI Model Dimension - Answers Covers the technical type, how the model was
built/used
OECD Framework: Tasks and output dimension - Answers Covers the tasks/outputs and results
of the actions taken from the output
AI Use case: Recognition - Answers Image, speech, face (facial recognition), spot defects,
search for items, plagiarism detection
AI Use Case: Event Detection - Answers Credit card fraud, general fraud detection, events in
video, cyber events in systems
AI Use Case: Forecasting - Answers Can predict sales/revenue, ridesharing apps, weather
AI Use Case: Personalization - Answers Based on previous information a system can design
unique experiences to an individual
AI Use Case: Interaction Support - Answers Chatbots, customer support
AI Use Case: Goal-driven optimization - Answers Optimizing solutions to find an
outcome(supply chain, driving routes, efficiency)
, AI Use case: Recommendation - Answers Viewing or listening suggestions based on past
choices or information. Could be used in a medical context
Common Elements of AI/ML definitions - Answers Technology/Automation/Role of
humans/Output
Artificial Narrow Intelligence (ANI) - Answers Designed to perform a single or a narrow set of
related tasks at a high level of proficiency. These systems may seem intelligent; however, they
operate under a narrow set of constraints and limitations, which is why this type of AI is
commonly referred to as weak AI. While limited in scope, artificial narrow intelligence systems
can help boost productivity and efficiency by automating repetitive tasks, enabling smarter
decision making and optimization through trend analysis. (Chess AI is an example of ANI)
Artificial General Intelligence (AGI) - Answers AGI is also known as Strong, Deep or Full AI. This
type of AI is intended to closely mimic human intelligence. AGI has been a goal of AI
development for decades but, as of today, it remains beyond our reach. Experts expect AGI
systems will do the following things at a level that is similar to or on par with human capabilities:
Have strong generalization capabilities, Be able to think, understand, learn and perform complex
tasks, and Achieve goals in different contexts and environments
Artificial super intelligence (ASI) - Answers ASI is a category of AI systems with intellectual
powers beyond those of the humans across a comprehensive range of categories and fields of
endeavor. Thus, it is capable of outperforming humans. Like AGI, ASI does not yet exist.
However, experts expect this type of system would be self-aware, capable of understanding
human emotions and experiences and evoking its own, thus experiencing reality like humans.
Broad Artificial Intelligence - Answers Broad artificial intelligence is a category of AI more
advanced in scope than artificial narrow intelligence, capable of performing a broader set of
tasks, but not sophisticated enough to be considered AGI. Involves a reliance on a number of AI
systems, capable of working together and combining decision making capabilities but lacking
the human capabilities of AGI
Supervised learning (Classification models) - Answers Classification models produce outputs in
the form of a specific categorical response; for example, whether an image contains a puppy
Supervised learning (Regression Models) - Answers Regression models predict a continuous
value; for example estimating a stock price.
Unsupervised learning (Clustering) - Answers Clustering automatically groups data points that
share similar or identical attributes; for example, looking for similarities or patterns in DNA
samples.
Unsupervised learning (Association rule learning) - Answers Association rule learning identifies
relationships and associations between data points; for example, understanding consumer
buying habits.
AI - Answers Machines performing tasks that normally require human intelligence
Turing Test - Answers A test proposed by Alan Turing in which a machine would be judged
"intelligent" if the software could use conversation to fool a human into thinking it was talking
with a person instead of a machine.
Machine Learning - Answers The process of training machines to display AI behavior
Supervised learning - Answers Labeled data grouped or classified into categories via the AI
system (Text recognition/SPAM filter)
Unsupervised Learning - Answers Unlabeled data, typically used for pattern detection(banking)
Reinforcement learning - Answers AI system is rewarded for performing a task well and
penalized for not performing it well(Self-driving cars)
OECD Framework: People and Planet - Answers It looks at the individuals and groups that may
be impacted by the AI(Privacy)
OECD Framework: Economic context dimension - Answers Looks at the economic sector that
the AI operates (financial, healthcare, education, etc)
OECD Framework: Data and input - Answers What type of data, any expert input, how was the
data collected/used
OECD Framework: AI Model Dimension - Answers Covers the technical type, how the model was
built/used
OECD Framework: Tasks and output dimension - Answers Covers the tasks/outputs and results
of the actions taken from the output
AI Use case: Recognition - Answers Image, speech, face (facial recognition), spot defects,
search for items, plagiarism detection
AI Use Case: Event Detection - Answers Credit card fraud, general fraud detection, events in
video, cyber events in systems
AI Use Case: Forecasting - Answers Can predict sales/revenue, ridesharing apps, weather
AI Use Case: Personalization - Answers Based on previous information a system can design
unique experiences to an individual
AI Use Case: Interaction Support - Answers Chatbots, customer support
AI Use Case: Goal-driven optimization - Answers Optimizing solutions to find an
outcome(supply chain, driving routes, efficiency)
, AI Use case: Recommendation - Answers Viewing or listening suggestions based on past
choices or information. Could be used in a medical context
Common Elements of AI/ML definitions - Answers Technology/Automation/Role of
humans/Output
Artificial Narrow Intelligence (ANI) - Answers Designed to perform a single or a narrow set of
related tasks at a high level of proficiency. These systems may seem intelligent; however, they
operate under a narrow set of constraints and limitations, which is why this type of AI is
commonly referred to as weak AI. While limited in scope, artificial narrow intelligence systems
can help boost productivity and efficiency by automating repetitive tasks, enabling smarter
decision making and optimization through trend analysis. (Chess AI is an example of ANI)
Artificial General Intelligence (AGI) - Answers AGI is also known as Strong, Deep or Full AI. This
type of AI is intended to closely mimic human intelligence. AGI has been a goal of AI
development for decades but, as of today, it remains beyond our reach. Experts expect AGI
systems will do the following things at a level that is similar to or on par with human capabilities:
Have strong generalization capabilities, Be able to think, understand, learn and perform complex
tasks, and Achieve goals in different contexts and environments
Artificial super intelligence (ASI) - Answers ASI is a category of AI systems with intellectual
powers beyond those of the humans across a comprehensive range of categories and fields of
endeavor. Thus, it is capable of outperforming humans. Like AGI, ASI does not yet exist.
However, experts expect this type of system would be self-aware, capable of understanding
human emotions and experiences and evoking its own, thus experiencing reality like humans.
Broad Artificial Intelligence - Answers Broad artificial intelligence is a category of AI more
advanced in scope than artificial narrow intelligence, capable of performing a broader set of
tasks, but not sophisticated enough to be considered AGI. Involves a reliance on a number of AI
systems, capable of working together and combining decision making capabilities but lacking
the human capabilities of AGI
Supervised learning (Classification models) - Answers Classification models produce outputs in
the form of a specific categorical response; for example, whether an image contains a puppy
Supervised learning (Regression Models) - Answers Regression models predict a continuous
value; for example estimating a stock price.
Unsupervised learning (Clustering) - Answers Clustering automatically groups data points that
share similar or identical attributes; for example, looking for similarities or patterns in DNA
samples.
Unsupervised learning (Association rule learning) - Answers Association rule learning identifies
relationships and associations between data points; for example, understanding consumer
buying habits.
