You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts
that have a specialty Italian dish made in a traditional fashion without spinach and wine. The
generative Al tool recommended five restaurantsfor you to visit.
After looking up the restaurants, you discovered one restaurant did not exist and two others did not
have the dish.
This information provided by the generative Al tool is an example of what is commonly called?
Correct Answer: C
Explanation:
In the context of AI, particularly generative models, "hallucination" refers to the generation of
outputs that are not based on the training data and are factually incorrect or non-existent. The
scenario described involves the generative AI tool providing incorrect and non-existent information
about restaurants, which fits the definition of hallucination. Reference: AIGP BODY OF KNOWLEDGE
and various AI literature discussing the limitations and challenges of generative AI models.
Question 2
Machine learning is best described as a type of algorithm by which?
Correct Answer: B
Explanation:
Machine learning (ML) is a subset of artificial intelligence (AI) where systems use data to learn and
improve over time without being explicitly programmed. Option B accurately describes machine
learning by stating that systems can automatically improve from experience through predictive
patterns. This aligns with the fundamental concept of ML where algorithms analyze data, recognize
patterns, and make decisions with minimal human intervention. Reference: AIGP BODY OF
KNOWLEDGE, which covers the basics of AI and machine learning concepts.
Question 3
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?
Correct 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.
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