UMBC professor Yasmine Kotturi's selection as a CRA Trustworthy AI Fellow was featured on the Computing Research Association site this month. The fellowship is intended to help scholars shape frameworks for more trustworthy AI systems through structured interdisciplinary training, collaborative research, and national visibility. She was one of nine early-career researchers who were chosen for program funded by Microsoft based on their interdisciplinary approaches to AI that are both technically sound and socially responsible.
Dr. Kotturi is an Assistant Professor in the Information Systems Department's Human-Centered Computing Program. She designs and builds sociotechnical systems that foster worker resilience by centering relational, community-driven practices and by scaffolding peer support among people navigating precarious forms of employment and entrepreneurship. Her research combines human-computer interaction with insights from labor studies and feminist theory to develop approaches such as community-based software development that shift power in how AI systems are built and used.
The article shares her thoughts on bringing together computing and the social sciences, her current research projects, the impacts she hopes they will have on developing trustworthy AI systems, and perspectives on building better human-centered AI systems.UMBC Information Systems professor Yasmine Kotturi was one of the researchers selected in the Computing Research Association’s (CRA) new Trustworthy AI Research fellowship program which is sponsored by Microsoft. This new fellowship supports computing researchers with interdisciplinary training in the social sciences who are working to integrate ethical, societal, and human-centered considerations into the development of AI.
Over the coming year, the fellows will engage in interdisciplinary training and collaboration, contribute to the development of a national Trustworthy AI lexicon and framework, and help lead initiatives at CRA partner institutions.
Professor Kotturi designs and builds sociotechnical systems that support worker resilience, especially among those navigating precarious employment and entrepreneurship. Her work combines human-computer interaction with insights from labor studies and feminist theory to develop relational, community-driven approaches—such as community-based software engineering—that shift power in how AI systems are developed and used.