debias-in-machine-learning

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

A command line tool to easily add an ethics checklist to your data science projects.

website, lectures, and other material for Columbia University course "data: past, present, and future"

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

Official implementation of our work "Collaborative Fairness in Federated Learning."

Lesson guide and textbook for "Data as a Science" course.

Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.

Google Data Analytics Professional Certificate on Coursera. (All assignments, challenges, and capstones)

Open-source toolkit to help companies implement responsible AI workflows.

The fast.ai data ethics course