Practice Key Ethical Principles in AI - 16.2 | 16. Ethics and Responsible AI | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define fairness in AI.

💡 Hint: Think about how AI impacts different social groups.

Question 2

Easy

What is transparency in AI?

💡 Hint: Consider how explanations of AI decisions can help users.

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 fairness in AI primarily involve?

  • Ensuring data security
  • Equitable treatment
  • Transparency of models

💡 Hint: Think about what it means to treat everyone equally.

Question 2

True or False: Accountability in AI is only the developer's responsibility.

  • True
  • False

💡 Hint: Consider whether multiple parties might be involved in AI decisions.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider an AI system that analyzes resumes for job candidates. Propose a strategy to ensure fairness and mitigate bias in its algorithms.

💡 Hint: Think about how bias might present with academic and experiential data.

Question 2

Imagine an autonomous vehicle equipped with AI. Discuss how to implement accountability for its actions in the event of an accident.

💡 Hint: Consider who would be directly impacted by the vehicle's decisions.

Challenge and get performance evaluation