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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.


Groups & Labs

Young man adjusting the position of robotic arm while students watch.

Robotics Group

Doing ground-breaking work in mechanism design, sensors, computer vision, robot learning, Bayesian state estimation, control theory, numerical optimization, biomechanics, neural control of movement, computational neuroscience, brain-machine interfaces, natural language…

Vials of DNA samples being prepared for genetic sequencing

Mostafavi Lab

The Mostafavi Lab develops machine learning and statistical methods that combine evidence across multiple types of molecular/genomics data and disentangle spurious from meaningful correlations for new insights into mechanisms of health and disease.


Allen School Faculty

Assistant Professor

Professor

Associate Professor

Associate Professor


Centers & Initiatives

Globe.AI is a multidisciplinary community of researchers at the University of Washington who aim to create equitable, responsive AI technologies that can adapt to individuals from diverse cultures and communities, including to different norms, languages, behaviors, and communication styles.

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.

Highlights


American Academy of Arts & Sciences

Professor Magda Balazinska was honored for her influential contributions in data management and data science, while Professor Shwetak Patel was recognized for his groundbreaking work applying computing to health and sustainability.

UW News

Researchers in the Allen School’s Mobile Intelligence Lab developed VueBuds, the first system that incorporates tiny cameras in off-the-shelf wireless earbuds as a less-intrusive, more privacy-preserving alternative to smart glasses.

Allen School News

The ACM Special Interest Group on Computer-Human Interaction (SIGCHI) recently honored Froehlich (Ph.D., ‘11) for his work to improve pedestrian infrastructure across the globe and tackle a range of other accessibility challenges using AI and HCI.