Gain a better understanding of hidden algorithmic biases and what you can do to increase the fairness of your AI-powered products.
Tools and frameworks
- Aequitas open-source bias audit toolkit
- AI Blindspot Cards
- AI Farness 360 toolkit by IBM
- Better Images of AI
- Fairlearn open-source toolkit
- HAX Toolkit by Microsoft provides guidelines and other resources such as the interactive HAX Design Library that can help you design better human-AI experiences.
- People + AI Guidebook by Google provides a set of methods, best practices, and examples for designing with AI.
Documentaries and talks
- AI is dangerous, but not for the reasons you think TED Talk by Sasha Luccioni
- Coded Bias documentary on Netflix
- The AI Dilemma presentation by Tristan Harris and Aza Raskin
- The Social Dilemma documentary on Netflix
Books
- Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford
- Unmasking AI: My Mission to Protect What is Human in a World of Machines by Joy Buolamwini
- Weapons of Math Destruction: How big data increases inequality and threatens democracy by Cathy O’Neil
Organizations to follow
- Algorithmic Justice League is an organization that combines art and research to illuminate the social implications and harms of artificial intelligence
- Data & Society is an independent nonprofit research organization that studies the social implications of data-centric technologies & automation
- Distributed AI Research Institute (DAIR) is a space for independent, community-rooted AI research, free from Big Tech’s pervasive influence.
- Humane Intelligence is a tech nonprofit building a community of practice around algorithmic evaluations.