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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 AI systems can be unfair.
Question 2
Easy
Name one source of algorithmic bias.
💡 Hint: Consider who creates AI and the data they use.
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 primary cause of algorithmic bias?
- Data imbalance
- User feedback
- Cloud computing limits
💡 Hint: Consider how the data characteristics affect AI learning.
Question 2
True or False: Human biases can be introduced into AI algorithms.
- True
- False
💡 Hint: Think about the developers' role in AI creation.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a real-world example of algorithmic bias in an AI system. What steps could be taken to address this bias?
💡 Hint: Think about various industries and look for biased news articles.
Question 2
Consider the ethical implications of deploying a biased AI system in a critical sector like healthcare or law enforcement. What are the potential social impacts?
💡 Hint: Reflect on the role of fairness in life-or-death situations.
Challenge and get performance evaluation