Topic: “Causal AI”: Is causal inference from healthcare data about to be automated ?”

Speaker: Miguel Hernan, Director of CAUSALab, Professor of Epidemiology and Biostatistics at Harvard

Abstract

Decisions about the treatment and prevention of disease are guided by causal inference and health researchers often make causal inferences using healthcare databases. The emergence of tools referred to as “AI” may transform the way in which those databases are used for causal inference. However, for “AI” to speed up the causal learning for healthcare databases, we need a better understanding of what both “AI” and causal inference are. This talk dissects the components of “Causal AI” and discusses its potential to automate causal research in the health sciences.