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.


Groups & Labs

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.

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…


Allen School Faculty

Professor

Assistant Professor

Associate Professor

Associate Professor


Centers & Initiatives

The NSF AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION) seeks to change the way mission-critical systems are protected against sophisticated, ever-changing security threats. In cooperation with (and learning from) security operations experts, intelligent agents will use complex knowledge representation, logic reasoning, and learning to identify flaws, detect attacks, perform attribution, and respond to breaches in a timely and scalable fashion.

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


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.

UW News

To help shed light over safety and security concerns with current AI systems, UW News spoke with researchers including professors Franziska Roesner and Noah A. Smith.