Abstract

A growing trend in bioethics highlights the importance of using big data science methods to advance normative insight. This has been called the “digital turn” in bioethics by Salloch and Ursin. Automated data processing can, for example, detect significant patterns of correlation that have escaped the attention of human scholars. Although we agree that such technological innovations could bolster existing methods in empirical bioethics (EB), we argue that it should not be conceptualized as a new turn but rather as a revivification, and possibly an amplification of entrenched debates in EB. We begin by highlighting some convergences between EB and digital bioethics that Salloch and Ursin seem to categorize as fundamental differences and end up with elaborating on some risks related to the integration of empirical findings with normative (philosophical) analysis in the digitalization trend.