Question 1

Which approach is crucial for ensuring that AI decisions align with ethical standards?

Options :

A : Overfitting

B : Regularization

C : Normalization

D : Transparency

Answer: D

Question 2

What is a potential ethical concern regarding the deployment of AI in decision-making systems?

Options :

A : Applying AI algorithms uniformly across different domains without adaptation

B : Increasing the model-s complexity to handle more diverse data

C : Reducing the number of parameters in the AI model to improve performance

D : Using AI solely for enhancing operational efficiency without assessing fairness

Answer: D

Question 3

In reinforcement learning, what is the purpose of the reward signal?

Options :

A : It penalizes actions

B : It optimizes actions

C : It updates policies

D : It guides exploration

Answer: B

Question 4

Which approach best supports the democratization of AI technologies?

Options :

A : Focusing solely on high-performance models without considering accessibility

B : Creating and promoting open-source AI tools and platforms

C : Developing proprietary models that are inaccessible to the public

D : Restricting access to AI research and development to large corporations

Answer: B

Question 5

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

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