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McKelvey School of Engineering

Brown School

Building Trustworthy (and Trusted) Computer Vision

Monday, December 4, 2023 | 12:00 PM

Preston M. Green Hall, 0120
135 N Skinker Blvd, St. Louis, MO 63112, USA

Dr. Olga Russakovsky 
Associate Professor 
Department of Computer Science
Princeton University
 

Building trustworthy Artificial Intelligence (AI) systems has been a long-standing challenge and goal for AI researchers. We need these systems to be capable and robust, performing gracefully even in unfamiliar circumstances. As AI systems are approaching their potential for improving the daily lives of people around the world, we also need to teach end users to trust them -- through exposing their limitations, explaining their decision-making processes, and, importantly, being transparent in our own decision-making processes as their creators. In this talk, I will describe my lab's recent work on building trustworthy and trusted computer vision. I'll focus on the challenges of designing thorough and transparent evaluation protocols, and demonstrate that careful evaluation design enables both technological innovation that leads to more trustworthy systems as well as sociotechnical insight that helps cultivate human trust. I'll describe our research work in the domains of visual recognition and algorithmic fairness, as well as briefly mention our outreach work with AI4ALL for educating a diverse next generation of responsible AI leaders. 

Green Hall, Room 0120

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Computer Science & Engineering
Event Contact

cody.copeland@wustl.edu

Speaker Information

Dr. Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. Her research is in computer vision, closely integrated with the fields of machine learning, human-computer interaction and fairness, accountability and transparency. She has been awarded the PAMI Young Researcher Award, the NSF CAREER award, the AnitaB.org's Emerging Leader Abie Award in honor of Denice Denton, the CRA-WP Anita Borg Early Career Award, the MIT Technology Review's 35-under-35 Innovator award, the PAMI Everingham Prize and the Foreign Policy Magazine's 100 Leading Global Thinkers award. In addition to her research, she co-founded and continues to serve on the Board of Directors of the AI4ALL nonprofit dedicated to increasing diversity and inclusion in Artificial Intelligence (AI).

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