16.2 - Key Ethical Principles in AI
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
Define fairness in AI.
💡 Hint: Think about how AI impacts different social groups.
What is transparency in AI?
💡 Hint: Consider how explanations of AI decisions can help users.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does fairness in AI primarily involve?
💡 Hint: Think about what it means to treat everyone equally.
True or False: Accountability in AI is only the developer's responsibility.
💡 Hint: Consider whether multiple parties might be involved in AI decisions.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider an AI system that analyzes resumes for job candidates. Propose a strategy to ensure fairness and mitigate bias in its algorithms.
💡 Hint: Think about how bias might present with academic and experiential data.
Imagine an autonomous vehicle equipped with AI. Discuss how to implement accountability for its actions in the event of an accident.
💡 Hint: Consider who would be directly impacted by the vehicle's decisions.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.