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
• This module introduces the course structure and objectives.
• Introduction to Responsible AI
• This module provides an overview of Responsible AI, covering Google’s AI Principles and sub-topics of Responsible AI. Also, this provides actual case studies of Responsible AI in Google products.
• AI Fairness & Bias
• This module focuses on AI Fairness and Bias. It provides various techniques and tools to identify and mitigate biases through data and modeling.
• Course Summary
• This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
• Course Resources
• Student PDF links to all modules