Practice Sources of Bias in AI - 16.3 | 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

What is historical bias in AI?

💡 Hint: Think about past societal inequalities.

Question 2

Easy

What does sampling bias mean?

💡 Hint: Consider how sampling can affect results.

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 historical bias?

  • Bias that occurs in real-time data
  • Bias derived from systemic inequalities in historical data
  • Error from human labeling

💡 Hint: Consider how past practices affect current data.

Question 2

Sampling bias occurs when:

  • True
  • False

💡 Hint: Think about whether a sample can show the whole picture.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an AI system to provide equitable loan approvals. Discuss potential biases that could arise in data collection, model training, and outcomes.

💡 Hint: Consider each type of bias and how they could affect loan decisions.

Question 2

Critically analyze a real-world AI application (like facial recognition). Identify any bias issues and propose measures to mitigate these biases.

💡 Hint: Look at current controversies surrounding the application for insights.

Challenge and get performance evaluation