Definitions Of Fairness In Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

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

Fairness Criteria, Exploring Fairness in Machine Learning

MIT OpenCourseWare

Fairness in Machine Learning : Metrics based on Confusion Matrix

MachineLearningInterview

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

MD4SG'20: Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics

EAAMO Bridges (formerly MD4SG)

What does fairness in AI actually mean?

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

Association for Computing Machinery (ACM)

Measuring Fairness in Machine Learning Systems

Prediction Modelling talk: Fairness in Multi-Agent Systems

NIHR Maudsley BRC

Fairness in Machine Learning: Beyond Group Statistical Parity | Adrian Weller

The Fairness of Fairness: Evaluating, Monitoring, and Impacts of ML in Insurance

Toronto Machine Learning Series (TMLS)

Fairness in Machine Learning

Microsoft Research

Fairness in Machine Learning - LvDS 2020

Faculty of Applied Sciences UCU

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds

ACM FAccT Conference

Algorithmic Fairness From The Lens Of Causality And Information Theory

Simons Institute

Robustness of Fairness in Machine Learning

Michigan Engineering - Honors Program

Why Machine Learning Fairness Is Hard To Define | #Shorts

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

Simons Institute

How to Make Machine Learning Fair and Accountable - Sray Agarwal | ODSC Europe 2019

Open Data Science

Responsible AI (24/30) - Equalized Odds Postprocessing Jupyter Notebook

Machine Learning University