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Responsible AI for Developers: Fairness & Bias

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Overview

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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.

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

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