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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in AI.
💡 Hint: Think about how bias can be seen in everyday life.
Question 2
Easy
What does discrimination mean?
💡 Hint: Consider examples of unfair treatment you might have seen.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a key concern with biased AI algorithms?
- They are always accurate
- They can perpetuate discrimination
- They require no data
💡 Hint: Think about the impact of data quality.
Question 2
True or False: Lack of diversity in tech development teams can lead to biased AI.
- True
- False
💡 Hint: Consider how different perspectives can alter outcomes.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss the implications of AI bias in law enforcement. What are some strategies that can address this?
💡 Hint: Think about responsible AI usage.
Question 2
Evaluate and propose a framework for assessing AI algorithms for bias. What metrics would you include?
💡 Hint: Consider how evaluations are conducted in other fields.
Challenge and get performance evaluation