Practice Ensuring Compliance and Meeting Regulatory Requirements - 3.1.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.1.2 - Ensuring Compliance and Meeting Regulatory Requirements

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define Explainability in AI.

πŸ’‘ Hint: What does it mean for an AI to be understandable?

Question 2

Easy

What is GDPR?

πŸ’‘ Hint: What protection does this regulation offer?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does GDPR stand for?

  • General Data Provision Regulation
  • General Data Protection Regulation
  • General Data Privacy Regulation

πŸ’‘ Hint: It's related to data privacy as a critical regulation.

Question 2

True or False: Explainability is not important for ethical AI.

  • True
  • False

πŸ’‘ Hint: Consider the role of explainability in users' trust in AI.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze how the lack of explainability might affect user trust in AI systems in critical fields, such as finance or healthcare.

πŸ’‘ Hint: Consider how trust plays a role in users' acceptance of AI technology.

Question 2

Propose a comprehensive framework for establishing accountability in AI systems, considering various stakeholders.

πŸ’‘ Hint: What steps can ensure everyone involved in the AI system understands their responsibilities?

Challenge and get performance evaluation