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
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…
Behavioral Data Science Group
The Behavioral Data Science Group leverages large-scale behavioral data to extract actionable insights about our lives, health and happiness by combining techniques from data science, social network analysis, and natural language processing.
Faculty Members
Centers & Initiatives
DUB (Design. Use. Build.)
The interdisciplinary DUB group at the University of Washington advances research, collaboration and teaching related to the interaction between design, people, and technology.
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
UW Aeronautics & Astronautics
Department of Aeronautics & Astronautics researchers teamed up with Taskar Center Director Anat Caspi and computer engineering major Marc Alwan to explore how eye-tracking can help autonomous systems adapt their interactions to individual users’ comfort and safety preferences.
UW News
Researchers in the Allen School’s Personal Robotics Lab invited people with motor impairments to help them test the Assistive Dexterous Arm in real-world scenarios — including community researcher Jonathan Ko, who spent five days with ADA in his home.
Allen School News
Feng envisions the work of LLMs as a collaborative endeavor, while Pang is interested in advancing the conversation around unintended consequences of these and other emerging technologies. Both were recently honored among the 2024 class of IBM Ph.D. Fellows for their innovative research.