Practice A Structured Framework for Ethical Analysis - 4.1 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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4.1 - A Structured Framework for Ethical Analysis

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is meant by stakeholders in the context of AI?

πŸ’‘ Hint: Think about who might be impacted by the AI's actions.

Question 2

Easy

Define bias in AI systems.

πŸ’‘ Hint: Consider how historical issues might affect AI.

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 purpose of identifying stakeholders in AI analysis?

  • To allocate funding
  • To ensure equitable outcomes
  • To enhance technological efficiency

πŸ’‘ Hint: Think about who is affected and how.

Question 2

True or False: Bias in AI systems can only originate from the algorithms used.

  • True
  • False

πŸ’‘ Hint: Consider all areas where bias might be introduced.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Imagine you are developing an AI system for predicting loan approvals. Identify three potential sources of bias that could emerge.

πŸ’‘ Hint: Consider where the data came from and how it was used.

Question 2

Discuss how establishing accountability in AI systems can mitigate risks associated with ethical dilemmas.

πŸ’‘ Hint: Think about the role of oversight in decision-making.

Challenge and get performance evaluation