Law Commons^™

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale

Faculty Scholarship

No abstract provided.

Reconsidering Constitutional Protection For Health Information Privacy, Wendy K. Mariner

Faculty Scholarship

What kinds of health information should be reported to government for civil purposes? Several competing trends encourage efforts to reassess the scope of constitutional protection for health information: the social and commercial value of health information; the amount of data held by third parties, from health care providers to internet servers; critiques of the third party doctrine exception to Fourth Amendment protection; and concerns about the loss of privacy. This article describes a variety of civil purposes for which health information is collected today. A close analysis of cases applying the third party doctrine, administrative search principles, and the special …

Could Data Broker Information Threaten Physician Prescribing And Professional Behavior?, Marco D. Huesch, Michael K. Ong, Barak D. Richman

Faculty Scholarship

Privacy is threatened by the extent of data collected and sold by consumer data brokers. Physicians, as individual consumers, leave a ‘data trail’ in the offline (e.g. through traditional shopping) and online worlds (e.g. through online purchases and use of social media). Such data could easily and legally be used without a physician’s knowledge or consent to influence prescribing practices or other physician professional behavior. We sought to determine the extent to which such consumer data was available on a sample of more than 3,000 physicians, healthcare faculty and healthcare system staff at one university’s health units. Using just work …

Making Smart Decisions About Surveillance: A Guide For Communities, Chris Conley, Matthew Cagle, Peter Bibring, Jessica Farris, Linda Lye, Mitra Ebadolahi, Nicole Ozer

Faculty Scholarship

California communities are increasingly grappling with whether to deploy new surveillance technologies ranging from drones to license plate readers to facial recognition. This is understandable, since public safety budgets are tight, technology vendors promise the ability to do more with less, and federal agencies or industry sponsors may even offer funding.

But surveillance can be both less effective and far more costly to local agencies and to the community at large than initially imagined, leaving communities saddled with long-term bills for surveillance that doesn't end up making the community safer. Surveillance can also be easily misused, leading to the erosion …

Rethinking Privacy, William H. Simon

Faculty Scholarship

Anxiety about surveillance and data mining has led many to embrace implausibly expansive and rigid conceptions of privacy. The premises of some current privacy arguments do not fit well with the broader political commitments of those who make them. In particular, liberals seem to have lost touch with the reservations about privacy expressed in the social criticism of some decades ago. They seem unable to imagine that preoccupation with privacy might amount to a “pursuit of loneliness” or how “eyes on the street” might have reassuring connotations. Without denying the importance of the effort to define and secure privacy values, …

Governing, Exchanging, Securing: Big Data And The Production Of Digital Knowledge, Bernard E. Harcourt

Faculty Scholarship

The emergence of Big Data challenges the conventional boundaries between governing, exchange, and security. It ambiguates the lines between commerce and surveillance, between governing and exchanging, between democracy and the police state. The new digital knowledge reproduces consuming subjects who wittingly or unwittingly allow themselves to be watched, tracked, linked and predicted in a blurred amalgam of commercial and governmental projects. Linking back and forth from consumer data to government information to social media, these new webs of information become available to anyone who can purchase the information. How is it that governmental, commercial and security interests have converged, coincided, …

Addressing The Harm Of Total Surveillance: A Reply To Professor Neil Richards, Danielle Keats Citron, David C. Gray

Faculty Scholarship

In his insightful article The Dangers of Surveillance, 126 HARV. L. REV. 1934 (2013), Neil Richards offers a framework for evaluating the implications of government surveillance programs that is centered on protecting "intellectual privacy." Although we share his interest in recognizing and protecting privacy as a condition of personal and intellectual development, we worry in this essay that, as an organizing principle for policy, "intellectual privacy" is too narrow and politically fraught. Drawing on other work, we therefore recommend that judges, legislators, and executives focus instead on limiting the potential of surveillance technologies to effect programs of broad and indiscriminate …

William H. Sorrell, Attorney General Of Vermont, Et Al. V. Ims Health Inc., Et Al. - Amicus Brief In Support Of Petitioners, Kevin Outterson, David Orentlicher, Christopher T. Robertson, Frank A. Pasquale

Faculty Scholarship

On April 26, 2011, the US Supreme Court will hear oral arguments in the Vermont data mining case, Sorrell v. IMS Health Inc. Respondents claim this is the most important commercial speech case in a decade. Petitioner (the State of Vermont) argues this is the most important medical privacy case since Whalen v. Roe.

The is an amicus brief supporting Vermont, written by law professors and submitted on behalf of the New England Journal of Medicine

Tolls On The Information Superhighway: Entitlement Defaults For Clickstream Data, Lee B. Kovarsky

Faculty Scholarship

This paper addresses the collection of "clickstream data," and sets forth a theory about the legal rules that should govern it. At the outset, I propose a typology for categorizing privacy invasions. A given state of informational privacy may be represented by: the observed behavior, the collecting agent, and the searching agent. Using this typology, I identify the specific sources of concern about collection of clickstream data. Then, based on expected levels of utility and expected transaction costs of "flipping" to a different rule, I argue for a particular set of privacy defaults for data mining.