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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 data can influence outcomes.
Question 2
Easy
Why is diversity in datasets important?
💡 Hint: What happens if the dataset is only one type of data?
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 main cause of algorithmic bias?
- A) Poor AI design
- B) Biased training data
- C) Lack of funding
💡 Hint: Think about what the AI learns from.
Question 2
True or False: Algorithmic bias can result in discriminatory outcomes.
- True
- False
💡 Hint: Consider the implications of AI making decisions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a case where biased algorithmic decisions led to negative outcomes. Discuss the implications for ethical AI development.
💡 Hint: Look for recent news stories or academic papers discussing bias in algorithms.
Question 2
Propose a strategy to audit AI systems for bias and discuss how transparency would improve public trust.
💡 Hint: Consider how existing companies handle transparency and what practices they follow.
Challenge and get performance evaluation