Modern Computation

A guide for lawyers

Seth J. Chandler (University of Houston Law Center)

None

5 Fairness and Explainability in Machine Learning 5 Fairness and Explainability in Machine Learning

FairML and XAI

Other resources

https://www.youtube.com/watch?v=nksfAaEJtm8 (FAT* 2019 Translation Tutorial: A History of Quantitative Fairness in Testing)

5.1. Tutorial: 21 fairness definitions and their politics

Tutorial: 21 fairness definitions and their politics

5.2. Barocas, et. al., Fairness in Machine Learning

Barocas, et. al., Fairness in Machine Learning

5.3. Machine Bias

Machine Bias

5.4. COMPAS Risk Scales: Demonstrating Accuracy Equity and Predictive Parity

COMPAS Risk Scales: Demonstrating Accuracy Equity and Predictive Parity

5.5. European Union regulations on algorithmic decision-making and a “right to explanation”

European Union regulations on algorithmic decision-making and a “right to explanation”

5.6. Towards matching user mobility traces in large-scale datasets

Towards matching user mobility traces in large-scale datasets

5.7. A Survey on Explainable Artificial Intelligence (XAI): towards Medical XAI

A Survey on Explainable Artificial Intelligence (XAI): towards Medical XAI