Practice Discussion/case Study: Analyzing Ethical Dilemmas In Real-world Ml Applications (4)
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Discussion/Case Study: Analyzing Ethical Dilemmas in Real-World ML Applications

Practice - Discussion/Case Study: Analyzing Ethical Dilemmas in Real-World ML Applications

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

Evaluate the implications of lacking diversity in AI development teams and propose a comprehensive solution.

💡 Hint: Think about both recruitment and team dynamics.

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Reference links

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