#Bias
Showing 21 of 21 repositories tagged #bias, ranked by stars
Fit interpretable models. Explain blackbox machine learning.
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.
XAI - An eXplainability toolbox for machine learning
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
This is a collection of papers and other resources related to fairness.
Identify bias and measure fairness of your data
Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
A Python toolkit for analyzing machine learning models and datasets.
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
List of references about Machine Learning bias and ethics
This is the repo for the survey of Bias and Fairness in IR with LLMs.
I will update this repository to learn Machine learning with python with statistics content and materials
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.
Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT
Bias detection and contextual evaluation tool for your AI projects
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration