Practice - Pinpoint the Core Ethical Dilemma(s)
Practice Questions
Test your understanding with targeted questions
What is bias in AI?
💡 Hint: Think about how past data can influence AI decisions.
Name one source of bias.
💡 Hint: Consider where the training data comes from.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of bias occurs when historical data reflects societal prejudices?
💡 Hint: Consider the context of the data's origination.
True or False: Transparency in AI is only important for technical stakeholders.
💡 Hint: Think about who interacts with AI systems.
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Challenge Problems
Push your limits with advanced challenges
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.
Analyze how transparency could help mitigate risks associated with the use of AI in hiring.
💡 Hint: Consider the benefits of openness in communication.
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Reference links
Supplementary resources to enhance your learning experience.