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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
List the main stakeholders involved in a machine learning project.
💡 Hint: Think about who is influenced by AI decisions.
Question 2
Easy
What does the term 'ethical dilemma' mean?
💡 Hint: Consider situations where decisions have positive and negative outcomes.
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
Which acronym helps identify core ethical dilemmas in AI?
- HARM
- FACE
- PLAN
💡 Hint: Think about the values commonly conflicted when deploying AI.
Question 2
True or False: Identifying stakeholders is unimportant in AI ethical analysis.
- True
- False
💡 Hint: Reflect on how various groups are affected by AI.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a real-world case where AI systems failed to consider ethical dilemmas. Propose a detailed plan on how this could have been approached differently.
💡 Hint: Look into case studies where AI faced backlash for discrimination or errors.
Question 2
Evaluate the implications of lacking diversity in AI development teams and propose a comprehensive solution.
💡 Hint: Think about both recruitment and team dynamics.
Challenge and get performance evaluation