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[Talk] ML Tlachac — Bots and Bias: Technology Acceptance and Digital Depression Datasets - The University of Rhode Island

·Oct 2, 2026
Source: The University of Rhode Island
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AbstractAs AI chatbots are increasingly being used in education contexts and digital modalities are increasingly being used in depression assessment research, it is important to understand human perspectives and bias. My research started in two main areas: exploring AI chatbot acceptability at Bryant University and comparing digital depression assessment datasets. For the former research area, we surveyed faculty, staff, and students about their AI chatbot use and perceptions at the end of 2023 and 2025. While usage increased over the two years, support of AI chatbots in education remained relatively consistent. For the latter research area, we identified observational datasets for depression assessment collected by smartphones (n=80), wearable technology (n=80), and cameras (n=63). Women comprised the majority of participants across all three modalities, with patients less frequently recruited for smartphone datasets and the elderly more frequently recruited for wearable technology datasets. Missing dataset details were prevalent, raising concerns regarding the ability to assess the bias and generalizability of models constructed on these datasets.

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