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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is algorithmic bias?
💡 Hint: Think about how biases in data can affect outputs.
Question 2
Easy
Name a type of bias related to data.
💡 Hint: Consider how data can be skewed or incomplete.
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 the source of algorithmic bias?
- Data
- Algorithms
- User Inputs
💡 Hint: Think about which component significantly influences AI outcomes.
Question 2
True or False: All biases in AI come solely from data.
- True
- False
💡 Hint: Remember the different types of bias discussed.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss how algorithmic bias might affect hiring practices in the tech industry and propose three solutions to mitigate these biases.
💡 Hint: Think about real-world hiring issues influenced by AI systems.
Question 2
Analyze the ethical implications of using AI in law enforcement. Provide a case where algorithmic bias led to negative outcomes.
💡 Hint: Consider existing and high-profile cases of bias in AI.
Challenge and get performance evaluation