There are 3 repositories under bias topic.
A collection of inspiring resources related to engineering management and tech leadership
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.
Awesome list about all kinds of interesting topics: Laws, Principles, Mental Models, Cognitive Biases
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
A curated list of awesome Fairness in AI resources
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
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Automatic synthesis of RCTs
Bias detection in the news. Back and front end for areyoufakenews.com
Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Identify bias and measure fairness of your data
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
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.
NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering
I will update this repository to learn Machine learning with python with statistics content and materials
List of references about Machine Learning bias and ethics
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Symmetric evaluation set based on the FEVER (fact verification) dataset
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Automated Essay Scoring using BERT
How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603
Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
[CCKS 2021] On Robustness and Bias Analysis of BERT-based Relation Extraction