Measuring Fairness In Machine Learning Systems

Measuring Fairness in Machine Learning Systems

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning

Fairness in Machine Learning : Metrics based on Confusion Matrix

MachineLearningInterview

Measuring Model Fairness - J. Henry Hinnefeld

KDD 2020: Lecture Style Tutorials: Fairness in Machine Learning for Healthcare

Association for Computing Machinery (ACM)

Andreas Dewes - Fairness and transparency in machine learning: Tools and techniques

PAIR AI Explorables | Is the problem in the data? Examples on Fairness, Diversity, and Bias.

Fairness in Machine Learning - LvDS 2020

Faculty of Applied Sciences UCU

Fairness in Machine Learning

How Hardware Choices Impact Fairness in AI Systems

Algorithmic Bias and Fairness: Crash Course AI #18

AI Fairness - Trisha Mahoney

What Really Matters for Fairness in Machine Learning: Delayed Impact and Other Desiderata

Simons Institute

Basic Concepts in Bias and Fairness in Machine Learning

Bias and Fairness in AI Systems with Lead Machine Learning Developer at AltaML, Graham Erickson

Institute for Experiential AI

Tutorial: Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned (KDD 2019)

LinkedIn Engineering

Exploratory Fairness Analysis | Quantifying Unfairness in Data

Tutorial: Best practices for prioritizing fairness in AI systems

Microsoft Research

Fairness Criteria, Exploring Fairness in Machine Learning

MIT OpenCourseWare