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Washington and Lee Law Review Online

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Privacy

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Articles 1 - 5 of 5

Full-Text Articles in Privacy Law

The Market’S Law Of Privacy: Case Studies In Privacy/Security Adoption, Chetan Gupta May 2017

The Market’S Law Of Privacy: Case Studies In Privacy/Security Adoption, Chetan Gupta

Washington and Lee Law Review Online

This paper examines the hypothesis that it may be possible for individual actors in a marketplace to drive the adoption of particular privacy and security standards. It aims to explore the diffusion of privacy and security technologies in the marketplace. Using HTTPS, Two-Factor Authentication, and End-to-End Encryption as case studies, it tries to ascertain which factors are responsible for successful diffusion which improves the privacy of a large number of users. Lastly, it explores whether the FTC may view a widely diffused standard as a necessary security feature for all actors in a particular industry.

Based on the case studies …


Privacy In The Age Of Autonomous Vehicles, Ivan L. Sucharski, Philip Fabinger Apr 2017

Privacy In The Age Of Autonomous Vehicles, Ivan L. Sucharski, Philip Fabinger

Washington and Lee Law Review Online

To prepare for the age of the intelligent, highly connected, and autonomous vehicle, a new approach to concepts of granting consent, managing privacy, and dealing with the need to interact quickly and meaningfully is needed. Additionally, in an environment where personal data is rapidly shared with a multitude of independent parties, there exists a need to reduce the information asymmetry that currently exists between the user and data collecting entities. This Article rethinks the traditional notice and consent model in the context of real-time communication between vehicles or vehicles and infrastructure or vehicles and other surroundings and proposes a re-engineering …


Clapper Dethroned: Imminent Injury And Standing For Data Breach Lawsuits In Light Of Ashley Madison, Arthur R. Vorbrodt Jun 2016

Clapper Dethroned: Imminent Injury And Standing For Data Breach Lawsuits In Light Of Ashley Madison, Arthur R. Vorbrodt

Washington and Lee Law Review Online

No abstract provided.


Big Data Sustainability: An Environmental Management Systems Analogy, Dennis D. Hirsch, Jonathan H. King Mar 2016

Big Data Sustainability: An Environmental Management Systems Analogy, Dennis D. Hirsch, Jonathan H. King

Washington and Lee Law Review Online

Today, organizations globally wrestle with how to extract valuable insights from diverse data sets without invading privacy, causing discrimination, harming their brand, or otherwise undermining the sustainability of their big data projects. Leaders in these organizations are thus asking: What management approach should businesses employ sustainably to achieve the tremendous benefits of big data analytics, while minimizing the potential negative externalities?

This Paper argues that leaders can learn from environmental management practices developed to manage the negative externalities of the industrial revolution. First, it shows that, along with its many benefits, big data can create negative externalities that are structurally …


Elements Of A New Ethical Framework For Big Data Research, Effy Vayena, Urs Gasser, Alexandra Wood, David R. O'Brien, Micah Altman Mar 2016

Elements Of A New Ethical Framework For Big Data Research, Effy Vayena, Urs Gasser, Alexandra Wood, David R. O'Brien, Micah Altman

Washington and Lee Law Review Online

Emerging large-scale data sources hold tremendous potential for new scientific research into human biology, behaviors, and relationships. At the same time, big data research presents privacy and ethical challenges that the current regulatory framework is ill-suited to address. In light of the immense value of large-scale research data, the central question moving forward is not whether such data should be made available for research, but rather how the benefits can be captured in a way that respects fundamental principles of ethics and privacy.

In response, this Essay outlines elements of a new ethical framework for big data research. It argues …