A research project to analyse the use of artificial intelligence as a complementary resource in the public communication of science and health-related issues. The project focuses on the use of generative artificial intelligence to create images on the specific case of the communication of depression. The project also wants to identify advantages, disadvantages and limitations in the use of these resources, compared to the resources used until now, as well as the ethical issues that may arise from it. Finally, based on the results obtained, recommendations will be drawn up for science communicators to consider when using these technologies in the public communication of depression.

Publications:

Saladié, N., Carolina, L., Revuelta, G. (2024). Comunicar visualmente la depresión considerando la IA. Guía participativa de recomendaciones para profesionales de la comunicación científica. Zenodo. https://doi.org/10.5281/zenodo.12819216

Saladie N, Llorente C, Joosten R, Revuelta G. Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study. JMIR Hum Factors 2026;13:e81230. doi: 10.2196/81230