The ethics of data science

In this contribution to Medium, Lee Schlenker suggests that the practice of data science without ethical considerations is a game stopper — whether it be the protection of personally identifiable data, implicit bias in automated decision-making, the illusion of free choice in psychographics, the social impacts of automation, or the apparent divorce of truth and trust in virtual communication.