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

Translations

Jury Selection

Dating

Word Embeddings

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

Gerrymandering

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

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: