Question 1

What is the primary objective of reinforcement learning in AI systems?

Options :

A : To identify underlying structures in unlabeled data

B : To train models to classify data points into predefined categories

C : To minimize a loss function by comparing predicted and actual outcomes

D : To find an optimal strategy by trial and error based on rewards and penalties

Answer: D

Question 2

Which type of AI is most crucial for enabling autonomous decision-making in advanced robotics?

Options :

A : Reinforcement Learning

B : Machine Learning Nets

C : Genetic Algorithms

D : Rule-Based Systems

Answer: A

Question 3

What is the significance of ROUGE (Recall-Oriented Understudy for Gisting Evaluation) scores in evaluating text summarization models in a business context?

Options :

A : ROUGE scores assess the originality of the generated summaries

B : ROUGE scores evaluate the similarity between the generated summary and a reference summary

C : ROUGE scores measure the computational efficiency of summarization models

D : ROUGE scores determine the length of the summary relative to the original text

Answer: B

Question 4

In the economics of AI, which of the following represents a negative externality?

Options :

A : Improved customer targeting through AI-driven marketing models

B : Increased automation leading to reduced production costs

C : AI enhancing productivity across multiple industries

D : The unintentional bias of AI systems causing discrimination in decision-making

Answer: D

Question 5

In AI-based diagnostics, which concept refers to the AI model's ability to explain its decision-making process to healthcare professionals?

Options :

A : Interpretability

B : Data Augmentation

C : Transparency

D : Predictive Power

Answer: A