Free GARP RAI Exam Questions

Question 1

A government agency uses an AI system to determine eligibility for welfare benefits but faces public concerns about fairness due to its black-box nature. What is the best step to increase transparency?

A : Provide simplified output without explanation

B : Implement model-agnostic interpretability techniques

C : Replace the system with manual processing

D : Use the system without public disclosure

Answer: B

Question 2

A government agency uses an AI system to determine eligibility for welfare benefits but faces public concerns about fairness due to its black-box nature. What is the best step to increase transparency?

A : Provide simplified output without explanation

B : Implement model-agnostic interpretability techniques

C : Replace the system with manual processing

D : Use the system without public disclosure

Answer: B

Question 3

A problem-solving AI model is being developed to solve the Tower of Hanoi puzzle by systematically planning moves to achieve the final goal. The model needs to evaluate intermediate steps to clear disks strategically for future moves. Which approach would best help the model to complete this task?

A : Tactical lookahead, as it considers each immediate move without long-term planning.

B : Strategic planning, by identifying intermediate moves that contribute to the end goal.

C : Reinforcement learning, by rewarding moves that lead to progress in the puzzle.

D : Randomized search, by exploring different moves without a predefined plan.

Answer: B

Question 4

A retail bank uses self-training to classify loan applicants as high or low risk, but it finds that updating the model after each new labeled data point is computationally intensive. Which approach can the bank use to reduce this burden?

A : Select multiple best-predicted instances in each round

B : Use an unsupervised learning model instead

C : Increase the complexity of the initial model

D : Use transductive learning instead

Answer: A

Question 5

An insurance company is using a neural network for classifying claims as "Fraudulent" or "Non-Fraudulent." They decide to use ReLU (Rectified Linear Unit) as the activation function for the hidden layers. What is the primary purpose of using an activation function like ReLU in this neural network?

A : To scale the output between 0 and 1

B : To introduce non-linearity

C : To calculate weights in the hidden layers

D : To set bias terms to zero

Answer: B