Responsible AI for Developers: Fairness & Bias

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/responsible-ai-for-developers-fairness--bias

Introduction

Define what is Responsible AI

Identify Google’s AI principles

Describe what AI fairness and bias mean

Explain how to identify and mitigate biases through data and modeling

Syllabus

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

Overview

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.

Skills

Reviews