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AIGP Exam UPDATED QUESTIONS AND CORRECT ANSWERS

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AIGP Exam UPDATED QUESTIONS AND CORRECT ANSWERS AI - CORRECT ANSWER intelligence Machines performing tasks that normally require human Turing Test - CORRECT ANSWER 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 - CORRECT ANSWER AI behavior Supervised learning - CORRECT ANSWER The process of training machines to display Labeled data grouped or classified into categories via the AI system (Text recognition/SPAM filter) Unsupervised Learning - CORRECT ANSWER pattern detection(banking) Reinforcement learning - CORRECT ANSWER Unlabeled data, typically used for

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AIGP Exam UPDATED QUESTIONS AND
CORRECT ANSWERS
AI - CORRECT ANSWER Machines performing tasks that normally require human
intelligence



Turing Test - CORRECT ANSWER 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 - CORRECT ANSWER The process of training machines to display
AI behavior



Supervised learning - CORRECT ANSWER Labeled data grouped or classified into
categories via the AI system (Text recognition/SPAM filter)



Unsupervised Learning - CORRECT ANSWER Unlabeled data, typically used for
pattern detection(banking)



Reinforcement learning - CORRECT ANSWER AI system is rewarded for performing
a task well and penalized for not performing it well(Self-driving cars)



OECD Framework: People and Planet - CORRECT ANSWER It looks at the
individuals and groups that may be impacted by the AI(Privacy)



OECD Framework: Economic context dimension - CORRECT ANSWER Looks at the
economic sector that the AI operates (financial, healthcare, education, etc)



OECD Framework: Data and input - CORRECT ANSWER What type of data, any
expert input, how was the data collected/used

, OECD Framework: AI Model Dimension - CORRECT ANSWER Covers the technical
type, how the model was built/used



OECD Framework: Tasks and output dimension - CORRECT ANSWER Covers the
tasks/outputs and results of the actions taken from the output



AI Use case: Recognition - CORRECT ANSWER Image, speech, face (facial
recognition), spot defects, search for items, plagiarism detection



AI Use Case: Event Detection - CORRECT ANSWER Credit card fraud, general fraud
detection, events in video, cyber events in systems



AI Use Case: Forecasting - CORRECT ANSWER Can predict sales/revenue,
ridesharing apps, weather



AI Use Case: Personalization - CORRECT ANSWER Based on previous information a
system can design unique experiences to an individual



AI Use Case: Interaction Support - CORRECT ANSWER Chatbots, customer support



AI Use Case: Goal-driven optimization - CORRECT ANSWER Optimizing solutions
to find an outcome(supply chain, driving routes, efficiency)



AI Use case: Recommendation - CORRECT ANSWER Viewing or listening
suggestions based on past choices or information. Could be used in a medical context



Common Elements of AI/ML definitions - CORRECT
ANSWER Technology/Automation/Role of humans/Output



Artificial Narrow Intelligence (ANI) - CORRECT ANSWER 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

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