Event Objectives

The objective of this event was to provide an overview of the potential of artificial intelligence (AI) in health and the environment, whether for data collection, processing, and analysis; predictive modeling of environmental exposures; or automated reporting of results.

This seminar highlighted existing or potential connections between teams implementing AI methods applied to environmental health data in research areas such as the impact of climate change, pesticide exposure, and environmental contamination. A roundtable discussion explored the uses and future of AI, as well as the questions—and even concerns—it raises regarding ethical and ecological issues.

Target Audience

This event provided an opportunity for institutional partners—such as the National Geographic Institute, the Directorate of Research, Studies, Evaluation, and Statistics, Cerema, the French Office for Biodiversity, and the CNIL—and research teams working on health-environment themes and/or using AI tools (INRIA, INRAE, etc.); more broadly, among stakeholders in the environmental health data community.