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.

XAI - An eXplainability toolbox for machine learning

Bias Auditing & Fair ML Toolkit

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

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A curated list of awesome Fairness in AI resources

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

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.

Automatic synthesis of RCTs

Bias detection in the news. Back and front end for areyoufakenews.com

Detecting Bias and ensuring Fairness in AI solutions

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

Identify bias and measure fairness of your data

This is a collection of papers and other resources related to fairness.

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.

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

repository of police abuse cases against people of color

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.

NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering

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