12.2 - Fairness and Accountability
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is fairness in AI?
💡 Hint: Think about sensitive characteristics like gender and race.
Why is accountability important in AI?
💡 Hint: Consider what happens when AI makes a mistake.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of fairness in AI?
💡 Hint: Think about how fairness relates to sensitive traits.
True or False: Accountability in AI means nobody is responsible for AI’s decisions.
💡 Hint: Consider who should be held responsible when something goes wrong.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a hypothetical AI system for hiring that minimizes bias. What steps will you implement?
💡 Hint: Consider how real recruitment processes could be improved.
Analyze a recent incident or study showing AI bias. Discuss potential corrective measures.
💡 Hint: Use real cases to frame their analysis.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.