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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about how decisions can be unfairly influenced.
Question 2
Easy
Give an example of AI bias.
💡 Hint: Consider situations where technology may fail to accurately recognize people.
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 bias in AI?
💡 Hint: Think about how AI systems might disadvantage groups.
Question 2
True or False: Biased training data can lead to biased AI systems.
💡 Hint: Consider the relationship between training data and AI behavior.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Discuss how AI bias can affect decision-making in the criminal justice system. Provide real-world examples.
💡 Hint: Think about the consequences of biased data in law enforcement.
Question 2
Develop a framework for evaluating the fairness of an AI hiring system. What criteria should be included?
💡 Hint: Consider factors that contribute to equitable practices in hiring.
Challenge and get performance evaluation