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A vision for responsible AI integration in citizen science | Synapse
March 3, 2026
Open Access
A vision for responsible AI integration in citizen science
ML
Maryam Lotfian
HES-SO University of Applied Sciences and Arts Western Switzerland
CC
Christophe Claramunt
École Navale
SS
Sven Schade
Joint Research Centre
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Key Points
Responsible AI practices can boost algorithm transparency in citizen science projects, fostering trust.
Engaging the public in collaborative platforms can improve data accuracy and ethical use of AI.
Proposed frameworks focus on enhancing participatory research through ethical, community-driven approaches.
Citizen science can empower individuals, highlighting the critical role of public engagement in research efforts.
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Lotfian et al. (Mon,) studied this question.
synapsesocial.com/papers/69a765d3badf0bb9e87da9ab
https://doi.org/https://doi.org/10.1057/s41599-026-06594-5
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