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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is historical bias in machine learning?
π‘ Hint: Think about how past societal norms affect current decision-making.
Question 2
Easy
Name one principle of ethical AI development.
π‘ Hint: These principles help guide the ethical deployment of AI.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What term describes systematic unfairness in AI?
π‘ Hint: Think about what can lead to unfair treatment in AI decisions.
Question 2
True or False: Transparency is unnecessary for AI public trust.
π‘ Hint: Why is understanding behind AI decisions significant?
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze how implementing differential privacy in a machine learning model can help mitigate bias while maintaining model performance.
π‘ Hint: Consider how distortion of data affects learning without losing valuable patterns.
Question 2
Examine the implications of using biased historical recruiting data in a hiring algorithm. Propose a multi-faceted solution to ensure fairness.
π‘ Hint: What steps can improve both data quality and recruitment processes?
Challenge and get performance evaluation