Recent years have seen a surge of efforts to adapt machine learning techniques for healthcare.
These tools have provoked heated debates about privacy, safety, bias, and inequality, but laws
and official guidance lag behind technological advances. This talk investigates how health
researchers develop rules and norms around the use of data-intensive technologies in the absence
of formal regulation, and how these new ideas are poised to change healthcare for clinicians and
patients alike. Drawing on three years of ethnographic research and interviews, I investigate this