Resources
Tools, frameworks, and books for understanding and implementing ethical AI practices
Tools & Frameworks
Google
What-If Tool
Interactive tool for exploring machine learning model behavior
IBM
AI Fairness 360
Comprehensive toolkit for detecting and mitigating bias in AI models
Microsoft
Fairlearn
Tools for assessing and improving fairness of ML systems
UChicago
Aequitas Toolkit
Open source bias audit toolkit for machine learning developers
Essential Reading
Weapons of Math Destruction
by Cathy O'Neil
How big data increases inequality and threatens democracy
The Alignment Problem
by Brian Christian
Machine learning and human values
Artificial Unintelligence
by Meredith Broussard
How computers misunderstand the world
The Ethical Algorithm
by Michael Kearns & Aaron Roth
The science of socially aware algorithm design
Race After Technology
by Ruha Benjamin
Abolitionist tools for the new Jim Code
Data Feminism
by Catherine D'Ignazio & Lauren F. Klein
Power, ethics, and data science
Rebooting AI
by Gary Marcus & Ernest Davis
Building artificial intelligence we can trust
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