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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…

Scatterplot of multi-colored dots, with a large cluster of dots occupying roughly two-thirds of the frame, with smaller clusters aligned by color and scattered individual dots arranged along one side of the main cluster

AIMS Lab

The AI for bioMedical Sciences (AIMS) Lab fundamentally advances the way AI is integrated with biology and clinical medicine by addressing novel scientific questions spanning explainable AI, model auditing, disease drivers, and more.


Allen School Faculty

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Centers & Initiatives

Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.

MEM-C is a NSF Materials Research Science and Engineering Center that integrates materials innovations with theory and computation to advance spin-photonic nanostructures and elastic layered quantum materials, aided by an “AI Core” that integrates artificial intelligence-driven materials discovery.

Highlights


Allen School News

In the latest installment of a Q&A series exploring grand challenges in computing, professors Franziska Roesner and Sewoong Oh discuss how they and their colleagues aim to develop a safer, more secure and privacy-preserving future through technologies that better serve people and society.

UW News

Allen School Ph.D. student Yael Eiger and professor Franziska Roesner discuss their research examining people’s experiences with technology during and after incarceration and the broader impacts of technology used for policing and post-release monitoring.

Allen School News

Professors Andrea Coladangelo, Matthew Golub, Ranjay Krishna, Chinmay Nirkhe, and Stephanie Wang are shaping the future of computing through projects spanning AI, systems, computational neuroscience, cryptography and quantum computing.