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.

Dr. Anupam Joshi, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's Gemini  systems. The session will give participants a chance to engage with the Gemini platform, experiment, and get help in overcoming obstacles to see what it can do.

Initial post had the wrong link.

Members of the UMBC community can register for the event here. 

Dr. Anupam Joshi, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's Geminisystems. The session will give participants a chance to engage with the Gemini platform, experiment, and get help in overcoming obstacles to see what it can do.

Initial post had the wrong link:

Members of the UMBC community can register for the event here. 

AI is becoming more embedded in our daily lives - making everyday tasks easier and improving how we track and manage our health. But as these technologies grow more powerful, so do concerns about privacy and security. See a video of a talk by Ted Murphree, Manager of Security and Privacy Compliance at an international law firm and adjunct professor at UMBC-Shady Grove, and  learn how everyday users can protect themselves from these risks.

Caring Robots in an Aging World

A lecture with guest speaker Shawn Bender, Ph.D.

4-5:30pm Thur., Nov. 6, 2025, AOK Library Gallery, UMBC

Inductive Analysis of Texts with Embeddings

Prof. Dustin Stoltz, Lehigh University

Word or text embeddings are a central component in modern language models, including those powering generative AI. Embeddings represent word meanings as positions in space, where words that are closer together are used in similar contexts or evoke similar concepts -- even if those words never actually co-occur. We navigate the meaning space created by embeddings directly using basic arithmetic, and in doing so, explore how meaning changes overtime or how meaning differs between different collections of texts. 

Dustin Stoltz is an Assistant Professor of Sociology and Cognitive Science at Lehigh University.  He studies a variety of topics in cultural and economic sociology and specializes in computational methods.  Five copies of his recently published book, Mapping Texts: Computational Text Analysis for the Social Sciences (coauthored with Marshall Taylor), will be raffled off to workshop registrants.  

Register here.

Lunch will be provided for registered attendees.

Hosted by the Center for Social Science Scholarship and cosponsored by the Departments of English; Sociology, Anthropology, & Public Health; Modern Languages, Linguistics, & Intercultural Communication; the Division of Information Technology; the Center for Scalable Data and Computational Science; and CGC-SCIPE.