Question 1

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 2

Why is it important to use pre-trained models like GPT-3 or BERT in business applications involving complex text generation tasks, and how do they enhance performance?

Options :

A : Pre-trained models provide state-of-the-art performance by leveraging vast amounts of prior knowledge

B : Pre-trained models reduce the need for extensive hyperparameter tuning

C : Pre-trained models eliminate the need for labeled training data

D : Pre-trained models simplify the model architecture by reducing the number of layers needed

Answer: A

Question 3

What is the primary goal of supervised learning in artificial intelligence?

Options :

A : To map input data to known output labels

B : To discover hidden patterns in data

C : To generate new data points similar to a given dataset

D : To allow the AI model to learn without any labeled data

Answer: A

Question 4

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

Question 5

What is a convolutional neural network (CNN) primarily used for?

Options :

A : Text analysis and natural language processing

B : Image recognition and computer vision tasks

C : Time-series forecasting

D : Predicting customer behavior in e-commerce

Answer: B

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