People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI by doing fundamental research, building tools, creating design frameworks, and working with diverse communities.
We believe that for machine learning to achieve its positive potential, it needs to be participatory, involving the communities it affects and guided by a diverse set of citizens, policy-makers, activists, artists and more.
Check out our work
People + AI Guidebook
A friendly, practical guide that lays out some best practices for creating useful, responsible AI applications.
Tic-Tac-Toe the Hard Way
Podcast where a writer and a software engineer explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
PAIR @ Medium
Exploring ML ideas and issues, in non-technical features and conversations with diverse voices from around the world.
Our Tools & Platforms
We build open-source tools to help make ML models more understandable, reliable, and fair.
Our Research
Our research into computer science, HCI, and design focuses on making ML more understandable, trustworthy, reliably fair, and useful.