Responsible AI for Developers: Fairness & Bias
Offered By: Google via Google Cloud Skills Boost
Course Description
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.
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
- 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
Tags
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