This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
Overview
Syllabus
- Course Introduction
- Course Introduction
- Introduction to Responsible AI
- AI & Responsibility
- Google’s AI Principles
- Responsible AI Practices
- Case study: Google Flights
- Quiz
- AI Fairness & Bias
- Overview of Fairness and Bias
- Identify Bias - TFDV Tool
- Identify Bias - What-if Tool
- Identify Bias - TFMA Tool
- Mitigate Bias - Data Intervention
- Mitigate Bias - Threshold Calibration
- Mitigate Bias - Model Remediation
- Lab: Mitigate Bias with MinDiff in TensorFlow
- Mitigate Bias with MinDiff in TensorFlow
- Quiz
- Course Summary
- Course Summary
- Reading
- Course Resources
- Module 0: Course Introduction
- Module 1: Introduction to Responsible AI
- Module 2: AI Fairness & Bias
- Module 3: Course Summary
- Your Next Steps
- Course Badge
