AML Ethical AI Practices & Data Governance

Question 1

Why is transparency important in AI systems?

Accepted Answer

It helps users trust AI decisions

Answer

It reduces computational costs.

Answer

It hides proprietary algorithms.

Answer

It prevents data sharing.

Question 2

What is the goal of data governance?

Accepted Answer

To manage data integrity and compliance

Answer

To increase model complexity.

Answer

To automate decision-making.

Answer

To store data longer.

Question 3

What does 'algorithmic bias' refer to?

Accepted Answer

Unfair outcomes produced by models

Answer

Bias caused by poor training.

Answer

A preference for neural networks.

Answer

Tuning hyperparameters incorrectly.

Question 4

Which principle is essential for ethical AI?

Accepted Answer

Fairness

Answer

Profit maximization

Answer

Data duplication

Answer

Model compression

Question 5

Why is informed consent important in data collection?

Accepted Answer

To respect user rights and transparency

Answer

To speed up data labeling.

Answer

To limit AI development.

Answer

To avoid data validation.

Question 6

What role does anonymization play in data governance?

Accepted Answer

It removes identifying information from data

Answer

It labels user data.

Answer

It shares data across platforms.

Answer

It speeds up training.

Question 7

Which regulation focuses on data protection in the EU?

Accepted Answer

GDPR

Answer

FERPA

Answer

HIPAA

Answer

FCPA

Question 8

What is the risk of using poor quality data in AI?

Accepted Answer

Incorrect and potentially harmful outcomes

Answer

Faster training.

Answer

Improved model accuracy.

Answer

Unbiased results.

Question 9

What does accountability in AI mean?

Accepted Answer

Ensuring responsibility for AI impacts

Answer

Hiding decision processes.

Answer

Avoiding responsibility for AI behavior.

Answer

Automating human judgment.