Responsible AI for Developers: Fairness & Bias

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.

• 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