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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in the context of AI?
💡 Hint: Think about how decisions might favor one group over another.
Question 2
Easy
Give an example of historical bias.
💡 Hint: Consider what happens when an AI learns from a company's history.
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 a significant source of bias in AI hiring?
💡 Hint: Consider what type of data informs AI decisions.
Question 2
True or False: Representation bias occurs when a hiring system overrepresents certain demographics.
💡 Hint: Think about what it means to represent a group adequately.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a case where an AI hiring tool favored candidates from one demographic due to biased historical data. What measures would you recommend to change its design for fairness?
💡 Hint: Consider how different demographics can influence job performance.
Question 2
Develop a strategy for an organization to ensure transparent hiring practices using an AI system. What key elements should be included?
💡 Hint: Think about what information candidates would need to understand AI decisions.
Challenge and get performance evaluation