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The Promise and Perils of AI in Advancing Participatory Science and Health Equity in Public Health
Abby King;
Zakaria N. Doueiri;
Ankita Kaulberg;
Lisa Goldman Rosas
ABSTRACT
Current societal trends reflecting increased mistrust of science and lowered civic engagement threaten to impair research that is foundational to ensuring public health and advancing health equity. One effective countermeasure to these trends lies in community-facing citizen science applications to increase public participation in scientific research, making this field an important target for AI exploration. We highlight potentially promising citizen science AI applications, including conversational large language models, text-to-image generative AI tools, descriptive analytics for analyzing integrated macro- and micro-level data, and predictive analytics. Finally, we recommend activities to help mitigate the potential ethical and societal risks in this field.
Citation
Please cite as:
King A, Doueiri ZN, Kaulberg A, Goldman Rosas L
The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health