Bias Detection and Mitigation in AI Models
This course equips AI pros & data scientists with techniques to identify & mitigate bias in AI systems. Learn to use IBM’s AI Fairness 360 & other tools through lectures, hands-on labs & case studies.
Lesson 1.1: Introduction to Bias
Lesson 1.2: Principles of Bias Detection and Mitigation
Lesson 1.3: Understanding Bias through Case Studies
Lesson 2.1: Introduction to IBM's AI Fairness 360
Lesson 2.2: Working with AI Fairness 360
Lesson 2.3: Exploring Other Bias Detection Tools
End-of-Module 1 Quiz - Tools for Bias Detection
Lesson 3.1: Developing Effective Bias Mitigation Plans
Lesson 3.2: Practical Application of Mitigation Techniques
Lesson 3.3: Monitoring and Maintaining Fairness
Lesson 4.1: Case Studies on Successes in Bias Mitigation
Lesson 4.2: Ethical, Social, and Legal Considerations
Lesson 4.3: Developing a Bias Mitigation Project (Course Project)
End-of-Module 4 Quiz - Case Studies and Ethical Considerations