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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in the context of AI.
💡 Hint: Think about the fairness of AI predictions.
Question 2
Easy
What is historical bias?
💡 Hint: Consider how society's past affects today's AI.
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 bias in machine learning?
- A random error in predictions
- Systematic prejudice in algorithms
- A feature of neural networks
💡 Hint: Reflect on how AI treats different demographics.
Question 2
True or False: Representation bias occurs when a dataset lacks diversity.
- True
- False
💡 Hint: Consider what diverse representation means.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze the potential challenges organizations might face when integrating fairness metrics into their existing AI models.
💡 Hint: Consider the technical and ethical dimensions of AI implementation.
Question 2
Discuss how a lack of accountability in AI systems can lead to societal consequences. Provide an example.
💡 Hint: Think about how human oversight could mitigate risks.
Challenge and get performance evaluation