Practice - Data Bias
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Practice Questions
Test your understanding with targeted questions
What is data bias?
💡 Hint: Think about how your background can influence your understanding.
Give an example of how data bias can occur in hiring.
💡 Hint: Consider what kind of job applications are out there.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does data bias mean?
💡 Hint: Think of examples where this could go wrong.
True or False: Data diversity can lessen AI bias.
💡 Hint: Remember how different views can affect conclusions.
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Challenge Problems
Push your limits with advanced challenges
Consider a financial AI tool that suggests loans but is trained on data from a predominantly wealthy demographic. What bias might be present, and how would this affect outcomes for borrowers from different backgrounds?
💡 Hint: Think of societal impact and systemic issues.
Examine the role of transparency in AI usage. How can companies implement transparency principles to address data bias in their AI systems?
💡 Hint: Consider existing frameworks and reporting standards.
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Reference links
Supplementary resources to enhance your learning experience.