Free GARP RAI Exam Questions

Question 1

A justice system uses an AI model to predict failure-to-appear (FTA) rates in court. To ensure fairness without explicitly using protected group data, what could be a potential unintended outcome?

A : The model underestimates FTA for all demographics

B : The model’s accuracy decreases for high-risk groups

C : The model’s reliance on correlated variables increases potential bias in predictions

D : The model achieves demographic parity but lacks predictive accuracy

Answer: C

Question 2

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 3

An admissions committee decides to incorporate a measure of resilience alongside grades in its AI-based selection criteria. Which challenge is the committee likely to face with this approach to individual fairnes

A : Defining resilience as a measurable trait

B : Avoiding direct discrimination

C : Ensuring grades remain the sole basis for admissions

D : Guaranteeing equal admissions for all applicants

Answer: A

Question 4

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 5

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