Law Commons^™

Meaningful Choice: A History Of Consent And Alternatives To The Consent Myth, Charlotte A. Tschider

Faculty Publications & Other Works

Although the first legal conceptions of commercial privacy were identified in Samuel Warren and Louis Brandeis’s foundational 1890 article, The Right to Privacy, conceptually, privacy has existed since as early as 1127 as a natural concern when navigating between personal and commercial spheres of life. As an extension of contract and tort law, two common relational legal models, U.S. privacy law emerged to buoy engagement in commercial enterprise, borrowing known legal conventions like consent and assent. Historically, however, international legal privacy frameworks involving consent ultimately diverged, with the European Union taking a more expansive view of legal justification for processing …

Legal Opacity: Artificial Intelligence’S Sticky Wicket, Charlotte A. Tschider

Faculty Publications & Other Works

Proponents of artificial intelligence (“AI”) transparency have carefully illustrated the many ways in which transparency may be beneficial to prevent safety and unfairness issues, to promote innovation, and to effectively provide recovery or support due process in lawsuits. However, impediments to transparency goals, described as opacity, or the “black-box” nature of AI, present significant issues for promoting these goals.

An undertheorized perspective on opacity is legal opacity, where competitive, and often discretionary legal choices, coupled with regulatory barriers create opacity. Although legal opacity does not specifically affect AI only, the combination of technical opacity in AI systems with legal opacity …

Ai's Legitimate Interest: Towards A Public Benefit Privacy Model, Charlotte A. Tschider

Faculty Publications & Other Works

Health data uses are on the rise. Increasingly more often, data are used for a variety of operational, diagnostic, and technical uses, as in the Internet of Health Things. Never has quality data been more necessary: large data stores now power the most advanced artificial intelligence applications, applications that may enable early diagnosis of chronic diseases and enable personalized medical treatment. These data, both personally identifiable and de-identified, have the potential to dramatically improve the quality, effectiveness, and safety of artificial intelligence.

Existing privacy laws do not 1) effectively protect the privacy interests of individuals and 2) provide the flexibility …

The Healthcare Privacy-Artificial Intelligence Impasse, Charlotte A. Tschider

Faculty Publications & Other Works

With the advent of the Internet, wireless technologies, advanced computing, and, ultimately, the integration of mobile devices into patient care, medical device technologies have revolutionized the healthcare sector. What once was a highly personal, one-to-one relationship between physician and patient has now been expanded, including medical device manufacturers, third party healthcare system providers, even physician-as-a-service for interpreting the data complex systems churn out. The introduction of technology to the healthcare field has, at an ever-increasing rate, transformed human health management.

Reworking privacy commitments in an AI world is an important endeavor. It may mean that we reconceptualize what these rights …

Data Subjects' Privacy Rights: Regulation Of Personal Data Retention And Erasure, Alexander Tsesis

Faculty Publications & Other Works

The European Union's right to erasure came into effect May 25, 2018, as Article 17 of the General Data Protection Regulation ("GDPR"). Unlike the U.S. "marketplace of ideas" model of free speech, the GDPR gives greater weight to data subjects' privacy interests than to audiences' curiosity about others' intimate lives. The U.S. and EU models advance human thirst for knowledge through open and uninhibited debates, whereas the internet marketplace tends to favor social media companies' commercial interests: put more specifically, free speech is not entirely harmonious with the interests of social media intermediaries whose algorithms tend to favor companies' bottom …

Marketplace Of Ideas, Privacy, And The Digital Audience, Alexander Tsesis

Faculty Publications & Other Works

The availability of almost limitless sets of digital information has opened a vast marketplace of ideas. Information service providers like Facebook and Twitter provide users with an array of personal information about products, friends, acquaintances, and strangers. While this data enriches the lives of those who share content on the internet, it comes at the expense of privacy. Social media companies disseminate news, advertisements, and political messages, while also capitalizing on consumers' private shopping, surfing, and traveling habits. Companies like Cambridge Analytica, Amazon, and Apple rely on algorithmic programs to mash up and scrape enormous amounts of online and otherwise …