Trusting Big Data Research

9 Pages Posted: 19 Jan 2016  

Neil M. Richards

Washington University in Saint Louis - School of Law; Yale Information Society Project; Stanford Center for Internet and Society

Woodrow Hartzog

Samford University - Cumberland School of Law; Stanford Law School Center for Internet and Society

Date Written: January 18, 2016

Abstract

Although it might puzzle or even infuriate data scientists, suspicion about big data is understandable. The concept doesn’t seem promising to most people. It seems scary. This is partly because big data research is shrouded in mystery. People are unsure about organizations’ motives and methods. What do companies think they know about us? Are they keeping their insights safe from hackers? Are they selling their insights to unscrupulous parties? Most importantly, do organizations use our personal information against us? Big data research will only overcome its suspicious reputation when people can trust it.

Some scholars and commentators have proposed review processes as an answer to big data’s credibility problem. It is possible that a review process for big data research could provide the oversight to ensure the ethical use of data we’ve been hoping for, applying sensible procedural rules to regularize data science. But procedure alone isn’t enough. In this essay, we argue that to truly protect data subjects, organizations must embrace the notion of trust when they use data about or to affect their human users, employees, or customers. Promoting meaningful trust will involves structuring procedures around affirmative, substantive obligations designed to ensure organizations act as proper stewards of the data with which they are entrusted. To overcome the failures of a compliance mentality, companies must vow to be Protective, Discreet, Honest, and above all, Loyal to data subjects. Such commitments backed up by laws will help ensure that companies are as vulnerable to us as we are to them. When we know we can trust those using big data, the concept might not seem so scary after all. We will disclose more and more accurate information in safe, sustainable ways. And we will all be better off.

Keywords: Privacy, Trust, Security Big Data, Institutional Review Boards, Loyalty

Suggested Citation

Richards, Neil M. and Hartzog, Woodrow, Trusting Big Data Research (January 18, 2016). DePaul Law Review, 2016, Forthcoming; Washington University in St. Louis Legal Studies Research Paper No. 16-01-02. Available at SSRN: https://ssrn.com/abstract=2717868

Neil M. Richards (Contact Author)

Washington University in Saint Louis - School of Law ( email )

Campus Box 1120
St. Louis, MO 63130
United States

Yale Information Society Project ( email )

New Haven, CT 06520
United States

Stanford Center for Internet and Society ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

Woodrow Hartzog

Samford University - Cumberland School of Law ( email )

800 Lakeshore Dr.
Birmingham, AL 35229
United States

HOME PAGE: http://cumberland.samford.edu/faculty/woodrow-n-hartzog

Stanford Law School Center for Internet and Society ( email )

Palo Alto, CA
United States

HOME PAGE: http://cyberlaw.stanford.edu/profile/woodrow-hartzog

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