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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does AI bias mean?
💡 Hint: Consider how data influences AI decisions.
Question 2
Easy
Give an example of bias in AI.
💡 Hint: Think of the actions that the AI tool took.
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 was the major issue with Amazon's recruitment AI tool?
💡 Hint: Think about the decisions the tool made regarding resumes.
Question 2
True or False: AI bias can stem from historical data.
💡 Hint: Consider how AI learns from data.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Evaluate the ethical implications for other companies using AI tools in recruitment processes. How can they prevent similar biases?
💡 Hint: Consider corporate social responsibility in AI implementation.
Question 2
Design an improvement plan for the Amazon recruitment AI tool that addresses its bias issues effectively.
💡 Hint: Think about incorporating stakeholder feedback into the AI development cycle.
Challenge and get performance evaluation