Course
Skills
Responsible AI for Developers: Fairness & Bias
This course introduces concepts of responsible AI and AI principles.
What you'll learn
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.
Table of contents
Course Introduction
0mins
Introduction to Responsible AI
27mins
AI Fairness & Bias
37mins
- Overview of Fairness and Bias 8m
- Identify Bias - TFDV Tool 5m
- Identify Bias - What-if Tool 4m
- Identify Bias - TFMA Tool 2m
- Mitigate Bias - Data Intervention 7m
- Mitigate Bias - Threshold Calibration 5m
- Mitigate Bias - Model Remediation 5m
- Lab: Mitigate Bias with MinDiff in TensorFlow 1m
- Lab: Mitigate Bias with MinDiff in TensorFlow 0m
Course Summary
2mins
