Practice Non-Technical Solutions - 4.1.5.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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4.1.5.2 - Non-Technical Solutions

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is human oversight in AI?

πŸ’‘ Hint: Think about who monitors AI systems.

Question 2

Easy

Name one reason why diversity in AI teams is important.

πŸ’‘ Hint: Consider representation of different viewpoints.

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 is the primary benefit of human oversight in AI?

  • A) Increases efficiency
  • B) Mitigates biases
  • C) Reduces costs

πŸ’‘ Hint: What is the role of oversight?

Question 2

True or False: Engaging stakeholders is unnecessary in AI development.

  • True
  • False

πŸ’‘ Hint: Think about who is affected by AI.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a stakeholder engagement strategy for a new AI health application aimed at patient diagnostics. What key elements would you include?

πŸ’‘ Hint: Consider whose insights would be valuable.

Question 2

Analyze the trade-offs between speed and ethical compliance when implementing auditing mechanisms for AI systems. Provide examples.

πŸ’‘ Hint: Think about what might be more important in different contexts.

Challenge and get performance evaluation