A Doctor’s Touch: What Big Data in Health Care Can Teach Us About Predictive Policing

Policing and Artificial Intelligence (John L.M. McDaniel and Ken G. Pease eds., Routledge, 2020 Forthcoming)

16 Pages Posted: 8 Aug 2019

See all articles by I. Glenn Cohen

I. Glenn Cohen

Harvard Law School

Harry Graver

Harvard University, Law School, Students

Date Written: August 4, 2019

Abstract

We take two professions — police officers and doctors — and place their experiences with big data in dialogue. Policing and medicine, while naturally different in some obvious respects, actually both need to grapple with a lot of the same moral, social, and legal questions that come with adopting big data programs. This because, as we discuss below, both professions generally possess a monopoly over an acute societal vulnerability, be it safety or health, and have accordingly developed a set of settled internal norms to shape individual discretion in service of each respective function.

We place the professions side-by-side and try to distill certain insights from the perspective of three key stakeholders — practitioners, policymakers, and the polity.

Keywords: Big Data, AI, Policing, Health Care

JEL Classification: I100, I1, I10, I11, I14, I18, I31, H41

Suggested Citation

Cohen, I. Glenn and Graver, Harry, A Doctor’s Touch: What Big Data in Health Care Can Teach Us About Predictive Policing (August 4, 2019). Policing and Artificial Intelligence (John L.M. McDaniel and Ken G. Pease eds., Routledge, 2020 Forthcoming). Available at SSRN: https://ssrn.com/abstract=3432095 or http://dx.doi.org/10.2139/ssrn.3432095

I. Glenn Cohen (Contact Author)

Harvard Law School ( email )

1525 Massachusetts Avenue
Griswold Hall 503
Cambridge, 02138
United States

Harry Graver

Harvard University, Law School, Students ( email )

1563 Massachusetts Avenue
Cambridge, MA 02138
United States

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