Skip to content

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.

Notifications You must be signed in to change notification settings

romanlutz/ResponsibleAI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

92 Commits
 
 
 
 

Repository files navigation

The following collection is meant to serve as a reference for engineers, data scientists, and others making decisions about building technological solutions for real-world problems. Hopefully, this will help us avoid repeating mistakes of the past by informing the design of new systems or the decision not to build a technological solution at all.

This is a living document, so please send suggestions for additions through "Issues" or feel free to send pull requests. If you find any other problems with links or the articles themselves, please also open an "Issue".

Fairness

Lending & Credit approval

Hiring

Employee evaluation

Pre-trial risk assessment and criminal sentencing

Predictive Policing & Other Law Enforcement Use Cases

Admissions

School Choice

Speech Detection

Image Labelling & Face Recognition

Public Benefits & Health

Ads

Search

Translations

Jury Selection

Dating

Word Embeddings

Word Embeddings may affect many of the categories above through applications that use them.

Gerrymandering

Recommender systems

Picking areas for improved service

Safety

Self-driving cars

Weaponized AI

Health

Privacy

Machine Learning-based privacy attacks

Lending

Work

Prison tech

Location data

Social media & dating

Basic anonymization as an insufficient measure

Health

Face Recognition

Supply of goods

Anti-Money Laundering

General resources about Responsible AI

Many of the books and articles in this area cover a wide range of topics. Below is a list of a few of them, sorted alphabetically by title:

About

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.

Topics

Resources

Stars

Watchers

Forks