Everyday Data and AI Practices: A Novel Approach to Studying Workplace Computing
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DiSalvo, Betsy
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Abstract
GT DataWorks recruits and trains employees with little technical background to execute data projects for clients. Over five years, we built this participatory research platform with employees, focusing on critical data literacy, career development, and the role of data in generative AI training. Data skills are essential across a growing range of professions, driving demand for data-centric curricula in formal and informal learning environments. Yet most educational programs fail to meet the needs of the largest group affected by this change: working adults with limited technical backgrounds. To bridge this gap and create a platform for studying data education and the data-driven workplace, we developed GT DataWorks—a data services provider embedded at Georgia Tech that executes data projects for external and internal clients. Our work explores how real-world data practices influence the preparation of datasets that fuel generative AI systems and highlights the ethical implications of such work. This talk will provide an overview of this hybrid outreach and research platform, emphasizing how employees transitioned from research subjects to active research contributors, shaping our understanding of data's role in everyday workplaces and AI training.
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Date
2026-01-29
Extent
49:09 minutes
Resource Type
Moving Image
Resource Subtype
Lecture
Rights Statement
Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved