Metadata-Version: 2.1
Name: fax-ai
Version: 0.1.0
Summary: A explanation based approach for fair supervised learning
Home-page: https://github.com/social-info-lab/FaX-AI
Author: Przemyslaw Grabowicz, Nicholas Perello, Aarshee Mishra
Author-email: nperello1@gmail.com
License: MIT
Description: Fair and Explainable AI (FaX-AI) framework provides implementations for fair learning methods that remove direct discrimination without the induction of indirect discrimination. These methods are based on a joining of concepts in fairness and explainability literature in machine learning. They inhibit discrimination by nullifying the influence of the protected feature on a system's output, while preserving the influence of remaining features.
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Provides-Extra: full
