AI Ethics
About the Course
This course introduces learners to AI ethics, a multidisciplinary field that studies how to optimize AI's benefits while minimizing unintended negative consequences. Trust in AI is built on five key pillars:
- Fairness
- Robustness
- Explainability
- Transparency
- Privacy
What You'll Learn
- Identify the five pillars of AI ethics
- Describe fairness in AI
- Recognize protected attributes and privileged/unprivileged groups
- Explain AI bias
- Identify robustness and adversarial attacks
- Compare interpretability and transparency
- Understand privacy, data minimization, and personal data protection
Level
Intermediate
Estimated Duration
1 hour, 45 minutes
Completion Criteria
To pass this course, you must visit all pages, complete interactive activities and quizzes, and score at least 80% on the final assessment. You can retake the quiz as many times as needed to pass.
Provided By
