A collection of resources and tools designed to provide guidelines for ethical modeling.
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Updated
Nov 15, 2021
A collection of resources and tools designed to provide guidelines for ethical modeling.
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Examples of unfairness detection for a classification-based credit model
Code implementing differential fairness (DF) metric in: J. R. Foulds, R. Islam, K. Keya, and S. Pan. An Intersectional Definition of Fairness. 36th IEEE International Conference on Data Engineering (ICDE), 2020
A method for ethically visualizing data. Originally developed for big data and medium data contexts in the digital humanities, it is currently also being used by tech startups, and for visualization of broader impacts by research groups for the humanities, sciences, and social sciences.
A benchmark of the different word embedding techniques on fairness and bias in AI models
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