PAIR | People+AI Research Initiative

Making people + AI partnerships productive, enjoyable, and fair.

The past few years have seen rapid advances in machine learning, with new technologies achieving dramatic improvements in technical performance. But we can go beyond optimizing objective functions. By building AI systems with users in mind from the ground up, we open up entire new areas of design and interaction.

PAIR is devoted to advancing the research and design of people-centric AI systems. We're interested in the full spectrum of human interaction with machine intelligence, from supporting engineers to understanding everyday experiences with AI.

Our goal is to do fundamental research, invent new technology, and create frameworks for design in order to drive a humanistic approach to artificial intelligence. And we want to be as open as possible: we’re building open source tools that everyone can use, hosting public events, and supporting academics in advancing the state of the art.

Engineering and analysis

AI is built by people. How might we make it easier for engineers to build and understand machine learning systems?

Augmented expert intelligence

How can AI aid and augment professionals in their jobs? How might AI systems amplify the expertise of doctors, technicians, designers, farmers, musicians, and more?

AI for everyone

Can design thinking open up new applications for AI? How might we ensure inclusion so that everyone can benefit from breakthroughs in AI?

Key Projects

Top people + AI opportunities we’re currently pursuing.

Deeplearn.js

Deeplearn.js is an open-source library for hardware-accelerated machine learning on the web. Train neural nets entirely in your browser, or run pre-trained models.

Try it out