Skip to content

Artificial Intelligence

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.


Faculty Members

Accessible Accordion

Areas of Expertise

Societal Impact

Results will appear in alphabetical order.

Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Emeritus Faculty

Emeritus Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Faculty

Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Faculty

Adjunct Faculty

Faculty

Emeritus Faculty

Faculty

Highlights


Allen School News

The fellowship will support Zhang’s work in sustainable ubiquitous computing, including the development of recyclable electronics and leveraging artificial intelligence to estimate carbon footprints and provide personalized health insights.

UW News

AI trained on data from the entire internet won’t work equally well for people in different cultures. But when UW researchers fed AI agents data from a kitchen simulation game, they found that the AI absorbed cultural values from observing human behavior — similar to what children do.

UW News

The prototype from researchers in the Mobile Systems Lab led by Allen School professor Shyam Gollakota detects the cadence of a conversation and automatically tracks participants’ voices for the wearer while muting the rest.