#计算机科学#A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
#自然语言处理#Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Official implementation of our work "Collaborative Fairness in Federated Learning."
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
#计算机科学#Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'
Official implementation of "FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records" (MLHC 2024)
#计算机科学#Fairness accountable regression in Matlab
implementation of fair dummies
#计算机科学#Tensorflow constrained optimization with different Deep Learning Models
Package implementing methods developed in "Preventing Fairness Gerrymandering" [ICML '18], "Rich Subgroup Fairness for Machine Learning" [ FAT* '19]. active development fork @algowatchupenn
#计算机科学#Mitigate machine learning bias to ensure data ethics in U.S. national home mortgage dataset.
Analyze borrower data and enhance decision-making for financial institutions, focusing on mitigating risks, ensuring fairness, and maintaining transparency and regulatory compliance.
Official code for "FairFedOph: Group Fairness-aware Federated Learning Benchmark for Ophthalmic Imaging"