The ethics of data and of data science: an economist's perspective.
Data collection and modelling are increasingly important in social science and science-based policy, but threaten to crowd out other ways of thinking. Economists recognize that markets embody and shed light on human sentiments. However, their ethical consequences have been difficult to interpret, let alone manage. Although economic mechanisms are changed by data intensity, they can be redesigned to restore their benefits. We conclude with four cautions: if data are good, more may not be better; scientifically desirable data properties may not help policy; consent is a double-edged tool; and data exist only because someone thought to capture and codify them.This article is part of the themed issue 'The ethical impact of data science'.
Department of Economics, University of Warwick, Coventry CV4 7AL, UK j.a.k.cave@warwick.ac.uk.
Jonathan
http://orcid.org/0000-0002-9879-6507
J
Cave
algorithmic regulation; complexity; data analytics; endogeneity; ethics