Authors: Truong, Minh-Xuan; van der Wal , René;

Automatic species identification algorithms are increasingly common in citizen science programs in ecology. They complement or replace active individual experiments previously done with identification keys or books. Yet, this mediation by artificial intelligence raises questions about the individual experience of using these tools compared to a traditional naturalist experience that implies a more extensive embodied and cognitive commitment. It also raises the question of the environmental knowledge acquired and the eco-citizen involvement that can result from it.
In this qualitative study, we interviewed 20 scientists in charge of or having taken part in a citizen science program involving these algorithm-driven identification tools. We asked them about the process of creating their programs, their motivations for using these algorithms, and their thoughts on how they created the experience for their participants.
An inductive content analysis allows us to highlight that the interviewees have envisioned several ways of individual empowerment through participation in these programs, in the way individuals acquire environmental knowledge, make the tools their own and use them in their eco-citizen implication. We also highlight significant differences in perception regarding the stakes and perspectives of the use of AI in the short and long term in these programs involving citizens.