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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is algorithmic transparency?
💡 Hint: Think about how well users can see inside an algorithm.
Question 2
Easy
Why is fairness important in AI?
💡 Hint: Consider who benefits from AI decisions.
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 is algorithmic transparency?
💡 Hint: Think about who needs to see inside an AI.
Question 2
Is fairness in AI important?
💡 Hint: Consider the impact on different communities.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Discuss the implications of deploying AI without ensuring fairness and transparency. Illustrate with an example from a real-world scenario.
💡 Hint: Consider cases where AI has failed due to a lack of these principles.
Question 2
Analyze how the use of biased datasets can create long-term societal impacts. Provide an example.
💡 Hint: Think about the ripple effects of initial AI decisions on society.
Challenge and get performance evaluation