Artificial Intelligence AI Ethics and Bias 2

Question 1

What is 'differential privacy' designed to protect?

Accepted Answer

The privacy of individuals in datasets by adding calibrated noise to outputs

Answer

Differential privacy adds carefully calibrated noise to data or outputs so that individual records cannot be inferred from results.

Question 2

What is an 'adversarial example' in the context of AI safety?

Accepted Answer

An input crafted to fool a model into making an incorrect prediction

Answer

Adversarial examples are inputs with small, often imperceptible perturbations that cause AI models to make confident but wrong predictions.

Question 3

What is 'AI alignment' research primarily concerned with?

Accepted Answer

Ensuring AI systems behave in accordance with human values and intentions

Answer

AI alignment studies how to ensure advanced AI systems pursue goals that are beneficial and consistent with human values.

Question 4

Which US agency is primarily responsible for regulating AI in consumer financial products?

Accepted Answer

CFPB (Consumer Financial Protection Bureau)

Answer

The CFPB oversees AI-driven credit scoring and lending decisions to ensure they comply with fair lending laws.

Question 5

What does 'debiasing' a dataset mean?

Accepted Answer

Correcting imbalances or prejudicial patterns in training data to reduce unfair outcomes

Answer

Debiasing involves identifying and reducing skewed representations or prejudicial labels in training data that lead to biased models.

Artificial Intelligence Practice Test