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Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about how past data can influence AI decisions.
Question 2
Easy
Name one source of bias.
💡 Hint: Consider where the training data comes from.
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 type of bias occurs when historical data reflects societal prejudices?
- Representation Bias
- Historical Bias
- Measurement Bias
💡 Hint: Consider the context of the data's origination.
Question 2
True or False: Transparency in AI is only important for technical stakeholders.
- True
- False
💡 Hint: Think about who interacts with AI systems.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a fairness-aware algorithm that can assess loan applications while considering historical biases in lending.
💡 Hint: Think about the metrics for fairness that you would need to measure.
Question 2
Analyze how transparency could help mitigate risks associated with the use of AI in hiring.
💡 Hint: Consider the benefits of openness in communication.
Challenge and get performance evaluation