Most existing data sources and tasks for pharmacovigilance were not designed for causal inference.

Pharmacovigilance was lagging in adopting machine learning-causal inference integrated models.

Adoption of causal paradigms can mitigate known issues with machine learning models, which could further enhance the use of machine learning in pharmacovigilance tasks.