12.2.1 - Fairness in AI
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Practice Questions
Test your understanding with targeted questions
What does fairness in AI mean?
💡 Hint: Think about race and gender.
Give an example of biased training data.
💡 Hint: Consider data from past hiring practices.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a key objective of fairness in AI?
💡 Hint: Think about the definitions we discussed.
True or False: Biased training data can negatively affect AI outcomes.
💡 Hint: Consider the impact of discriminatory data.
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Challenge Problems
Push your limits with advanced challenges
Design an AI system for hiring that mitigates biases. Describe the data sources you would use and how you would ensure fairness.
💡 Hint: Think about including data that represents various genders and ethnicities.
Critique a form of AI used in social media for content moderation. Identify potential biases in training data and suggest improvements.
💡 Hint: Reflect on past moderation decisions that weren’t inclusive.
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