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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define fairness in the context of AI.
💡 Hint: Think about equal treatment and discrimination.
Question 2
Easy
What does accountability mean?
💡 Hint: Consider who is held responsible when something goes wrong.
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 does the principle of fairness in AI ensure?
💡 Hint: Think about how AI should treat different groups.
Question 2
True or False: Transparency in AI means users should not know how decisions are made.
💡 Hint: Consider the implications of users understanding AI processes.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Consider an organization that develops AI software for hiring. Discuss how they can ensure fairness while implementing their AI systems.
💡 Hint: What practices can mitigate bias but still maintain effectiveness?
Question 2
Analyze how a lack of transparency in an AI medical diagnosis system could affect patient trust and treatment outcomes.
💡 Hint: Think about how understanding the process impacts patient decisions.
Challenge and get performance evaluation