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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

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UW NLP Group

The University of Washington Natural Language Processing Group comprises diverse researchers across campus collaborating in the study of all aspects of NLP from computational, engineering, linguistic, social, statistical, and other perspectives.

RAIVN Reserch Lab image featuring a raven wearing dark sunglasses

RAIVN Lab

The Reasoning, AI, and VisioN (RAIVN) Lab directed by Prof. Ali Farhadi and Prof. Ranjay Krishna focuses at the intersection of computer vision, machine learning, natural language processing and robotics and is targeted towards helping computers…


Faculty Members

Faculty


Centers & Initiatives

IFDS logo in multi-colored block letters with graphic of neuron connections and wording underneath Institute for Foundations of Data Science

Institute for Foundations of Data Science (IFDS)

IFDS organizes its research around four core themes: complexity, robustness, closed-loop data science, and ethics and algorithms. By making concerted progress on these fundamental fronts, IFDS aims to lower several of the barriers to better understanding of data science methodology and to its improved effectiveness and wider relevance to application areas.

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Center for AI & Culture

The Center for AI & Culture advances research to better understand and design AI systems for people with diverse cultural backgrounds.

Highlights