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Google

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
  • Course Resources
    • Course Resources
  • Your Next Steps
    • Course Badge

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