Allen School researchers are at the forefront of exciting developments in AI spanning machine learning, computer vision, natural language processing, robotics and more.
We cultivate a deeper understanding of the science and potential impact of rapidly evolving technologies, such as large language models and generative AI, while developing practical tools for their ethical and responsible application in a variety of domains — from biomedical research and disaster response, to autonomous vehicles and urban planning.
Groups & Labs

Bespoke Silicon Group
The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.

Human-Centered Robotics Lab
In the Human-Centered Robotics lab we aim to develop robotics that are useful and usable for future users of task-oriented robots.
Faculty Members
Faculty
Faculty
Adjunct Faculty
Adjunct Faculty
Centers & Initiatives

NSF AI Institute for Societal Decision Making (AI-SDM)
The AI Institute for Societal Decision Making (AI-SDM) brings together AI and social sciences researchers to develop human-centric AI for societal good that harnesses the power of data and improved understanding of human decisions to create better and more trusted choices.

Taskar Center for Accessible Technology (TCAT)
TCAT harnesses the power of open-source technology to develop, translate, and deploy accessible technologies, and then sustain them in the hands of communities. Housed by the Paul G. Allen School for Computer Science & Engineering, TCAT centers the experience of people with disabilities as a lens for improving design & engineering, through participatory design practices, tooling and capacity building.
Highlights
Allen School News

Asai, a Ph.D. student in the Allen School’s H2Lab, was recognized for her pioneering work tackling the major limitations of large language models, making them increasingly useful to more people. The IU35 Japan award honors young innovators who are “working to solve global problems.”
UW News

In this Q&A, Allen School professor Natasha Jaques explains how a new training method called variational preference learning, or VPL, can enable AI systems from ChatGPT to robots to better reflect users’ diverse values.
Allen School News

Professor Gollakota, who leads the Allen School’s Mobile Intelligence Lab, received the 2024 Infosys Prize in Engineering and Computer Science for his research that uses artificial intelligence to change the way we think about speech and audio.