VISION

We envision a future where AI systems are built with ethical, value-centric, and human-centric considerations from day-1 by the same workforce that designs and develops such systems, rather than later analyzed by a different set of people, who may attempt to fix problems in unsustainable, non-scalable, and ad hoc fashion. RAISE aims to develop research methods, frameworks, and datasets to advance this vision. More importantly, RAISE is working to educate and train a new generation of students and scholars from a broad and diverse set of disciplines who will play a crucial role in the future of AI systems and experiences.

MISSION

The mission of RAISE at the University of Washington is to provide a platform for scholarly, educational, and outreach activities that involve:

1) foundational research in intelligent information systems and their interaction with human values and experiences;

2) the development and deployment of such systems in critical yet underserved contexts across the public sector; the physical, life, and social sciences; and relevant industries. These contexts include, but are not limited to, health, education, finance, and policy.

The unit provides AI, ML, Human-Centered Computing and Data Science resources, connections, and directions for those working on research and curriculum activities with computational as well as humanistic methods. It builds intelligent and value-sensitive solutions that provide fair and equitable access to information and opportunities to individuals, organizations, and communities.

TALKS & EVENTS

Invited Speaker: Shion Guha

Friday, October 27th, 2023

Shion Guha is currently an Assistant Professor in the Faculty of Information and cross-appointed to the Department of Computer Science at the University of Toronto, presenting the talk: “ Deconstructing Risk in Predictive Risk Models“.

9:00 AM – 10:00 AM PST 

NEWS

October 7

The long-term answer to fixing bias in AI systems

Chirag Shah was quoted in an article by Jake Esther Ajao in Tech Target.

July 27

Photo illustration of warped faces on scanned paper.

Human-like programs abuse our empathy – even Google engineers aren’t immune

Chirag Shah was quoted in an article by Jake Traylor in NBC News.

August 9

The word hybrid

Tech Workers Struggle With Hybrid IT Complexity

Chirag Shah was quoted in an article by Brandon Shopp in DevOps.com.

MEET OUR FACULTY PARTNERS

Photo of Chirag Shah, Associate Professor at University of Washington

Chirag Shah

Founding Co-Director

Chirag Shah is an Associate Professor in the Information School. He is the Founding Director of InfoSeeking Lab, which focuses on issues related to information seeking, human-computer interaction (HCI), and social media. 

Photo of Tanu Mitra, Assistant Professor at University of Washington

Tanu Mitra

Founding Co-Director

Tanu Mitra is an Assistant Professor at the Information School, where she leads the Social Computing research group. Her research focuses on studying and building large-scale social computing systems to understand and counter problematic information online. 

Photo of Bill Howe, Associate Professor at University of Washington

Bill Howe

Founding Co-Director

Bill Howe is an Associate Professor in the iSchool, Adjunct Associate Professor in Computer Science & Engineering, Founding Associate Director of the eScience institute and remains a Senior Data Science Fellow.Â