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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does fairness in AI mean?
💡 Hint: Think about hiring practices and whether everyone has an equal chance.
Question 2
Easy
Name one principle of ethical AI.
💡 Hint: Remember the importance of clarity in communication.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which principle ensures that AI treats all individuals equally?
💡 Hint: Consider what leads to equitable treatment in decision-making.
Question 2
True or False: Transparency in AI means that all users must understand how AI operates.
💡 Hint: What happens if users don’t know how decisions are made?
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a situation where AI causes harm to an individual. Who should be held accountable, and why? Outline the characteristics that define this accountability.
💡 Hint: Think about the roles of different stakeholders.
Question 2
Propose a comprehensive plan to enhance fairness in AI algorithms used in hiring processes. Include steps addressing training data and evaluation methods.
💡 Hint: What checks can be integrated at various stages to ensure fairness?
Challenge and get performance evaluation