Question 1

In the context of AI ethics, what is the "black box" problem, and why is it a concern?

Options :

A : The black box problem is the challenge of integrating AI systems with existing legacy systems in an organization.

B : The black box problem occurs when AI models are too complex, leading to inefficient training and inference times.

C : The black box problem is the lack of transparency and interpretability in AI models, making it difficult to understand how decisions are made.

D : The black box problem refers to the difficulty in accessing and using AI technologies due to proprietary constraints.

Answer: C

Question 2

Which type of neural network architecture is primarily used for sequence prediction tasks, such as language modeling and time-series forecasting?

Options :

A : Convolutional Neural Network

B : Feedforward Neural Network

C : Recurrent Neural Network

D : Transformer Network

Answer: C

Question 3

Why is the sigmoid function crucial in binary logistic regression?

Options :

A : It smooths the decision boundary for non-linear data.

B : It provides feature scaling to normalize input features.

C : It maps the output to probabilities between zero and one.

D : It adjusts the learning rate for better convergence speed.

Answer: C

Question 4

What role does the decision boundary play in linear classification algorithms?

Options :

A : It defines the hyperplane that maximizes the margin.

B : It determines the probability thresholds for classification.

C : It separates the classes based on the feature space.

D : It adjusts the learning rate to optimize performance.

Answer: C

Question 5

What is essential for aligning product planning with market needs?

Options :

A : Regularly reviewing customer feedback and trends

B : Enhancing the complexity of product features

C : Increasing the frequency of internal team meetings

D : Allocating substantial budgets for advertising campaigns

Answer: A

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