Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"
-
Updated
Jul 16, 2024 - Python
Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
We explain why fairness metrics don't correlate and propose CAIRO to make them correlate.
Psychology Experimental Methods 3110-U70 Project
A Framework for Mitigating the use of Protected Attributes in NLP
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.
A fairness library in PyTorch.
Bias Auditing & Fair ML Toolkit
Identify bias and measure fairness of your data
Occupational Bias in Open-Source Pretrained Large Language Models: Analyzing Polarity towards Creative and Technical Professions
Debiasing Stereotyped Language Models via Model Editing
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
All code related to the Try Before you Bias (TBYB) tool based on the paper: Quantifying Bias in Text-to-Image Generative Models. You can access a hosted TBYB web-service (and comprae evaluations to other users) via: https://huggingface.co/spaces/JVice/try-before-you-bias
A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.
Code for the paper 'Robust Pronoun Use Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?'
Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
A bias bounty competition for income prediction. Using the pointer decision list method to improve group accuracy.
[ICCV 2023] Partition-and-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts
Add a description, image, and links to the bias topic page so that developers can more easily learn about it.
To associate your repository with the bias topic, visit your repo's landing page and select "manage topics."