Law Commons^™

Good Health And Good Privacy Go Hand-In-Hand (Originally Published By Jnslp), Jennifer Daskal

Joint PIJIP/TLS Research Paper Series

No abstract provided.

Reflections On The Use Of Facial Recognition Technology During Covid-19, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

During the COVID-10 pandemic, infected persons have been quarantined in segregated facilities. Individuals who have been in contact with the infected persons may be subject to self-isolation measures or stay-home notices. Technological tools such as proximity and contact tracing apps are used to identify those who have been in close contact with infected persons. The contact tracing QR code used in Singapore's SafeEntry requires the submission of personal information (including names and identification numbers) prior to entry into certain public places such as malls, factories and restaurants. Robots, in addition to designated human officers, have been delpoyed to maintain social …

Privacy In Pandemic: Law, Technology, And Public Health In The Covid-19 Crisis, Tiffany Li

Faculty Scholarship

The COVID-19 pandemic has caused millions of deaths and disastrous consequences around the world, with lasting repercussions for every field of law, including privacy and technology. The unique characteristics of this pandemic have precipitated an increase in use of new technologies, including remote communications platforms, healthcare robots, and medical AI. Public and private actors are using new technologies, like heat sensing, and technologically-influenced programs, like contact tracing, alike in response, leading to a rise in government and corporate surveillance in sectors like healthcare, employment, education, and commerce. Advocates have raised the alarm for privacy and civil liberties violations, but the …

Cryptography, Passwords, Privacy, And The Fifth Amendment, Gary C. Kessler, Ann M. Phillips

Journal of Digital Forensics, Security and Law

Military-grade cryptography has been widely available at no cost for personal and commercial use since the early 1990s. Since the introduction of Pretty Good Privacy (PGP), more and more people encrypt files and devices, and we are now at the point where our smartphones are encrypted by default. While this ostensibly provides users with a high degree of privacy, compelling a user to provide a password has been interpreted by some courts as a violation of our Fifth Amendment protections, becoming an often insurmountable hurdle to law enforcement lawfully executing a search warrant. This paper will explore some of the …

Modern Privacy Advocacy: An Approach At War With Privacy Itself?, Justin "Gus" Hurwitz, Jamil N. Jaffer

Pepperdine Law Review

This Article argues that the modern concept of privacy itself, particularly as framed by some of its most ardent advocates today, is fundamentally incoherent. The Article highlights that many common arguments made in support of privacy, while initially seeming to protect this critical value, nonetheless undermine it in the long run. Using both recent and older examples of applying classic privacy advocacy positions to key technological innovations, the authors demonstrate how these positions, while seemingly privacy-enhancing at the time, actually resulted in outcomes that were less beneficial for consumers and citizens, including from a purely privacy-focused perspective. As a result, …

Can Pipeda ‘Face’ The Challenge? An Analysis Of The Adequacy Of Canada’S Private Sector Privacy Legislation Against Facial Recognition Technology, Tunca Bolca

Canadian Journal of Law and Technology

Facial recognition technology is one of the most intrusive and privacy threatening technologies available today. The literature around this technology mainly focuses on its use by the public sector as a mass surveillance tool; however, the private sector uses of facial recognition technologies also raise significant privacy concerns. This paper aims to identify and examine the privacy implications of the private sector uses of facial recognition technologies and the adequacy of Canada’s federal private sector privacy legislation, the Personal Information Protection and Electronic Documents Act (PIPEDA), in addressing these privacy concerns. Facial templates produced and recorded by these technologies are …

The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D.

Georgia State University Law Review

An examination of technology in the countertrafficking space reveals recurring tensions between law enforcement and rights-based approaches. It also illuminates assumptions, such as the one that posits more law enforcement-focused, nonstate-actor-supported data-driven efforts are necessary to securing justice for people in trafficking situations. However, a closer look at how technology is used and by whom also invites us to ask different questions and to leverage the power of our all-too-human creative potential in thinking about how to value and prioritize data ethics, transparency, and accountability in future countertrafficking work.

Opting Out: Biometric Information Privacy And Standing, Michelle Jackson

Duke Law & Technology Review

No abstract provided.

The Danger Of Facial Recognition In Our Children’S Classrooms, Nila Bala

Duke Law & Technology Review

No abstract provided.

Automation In Moderation, Hannah Bloch-Wehba

Faculty Scholarship

This Article assesses recent efforts to encourage online platforms to use automated means to prevent the dissemination of unlawful online content before it is ever seen or distributed. As lawmakers in Europe and around the world closely scrutinize platforms’ “content moderation” practices, automation and artificial intelligence appear increasingly attractive options for ridding the Internet of many kinds of harmful online content, including defamation, copyright infringement, and terrorist speech. Proponents of these initiatives suggest that requiring platforms to screen user content using automation will promote healthier online discourse and will aid efforts to limit Big Tech’s power.

In fact, however, the …

The Law Of The Tetrapods, Henry T. Greely

Vanderbilt Journal of Entertainment & Technology Law

Should there be such a thing as "Technology Law"? This Article explores that question in two ways. It first looks at four substantive issues that appear across many different areas of technology law: privacy, security, property, and responsibility. It then examines five questions that frequently recur about how to regulate very different new technologies. These questions include which agency should regulate, whether regulation should focus on before or after marketing, what jurisdiction should regulate, how relevant new information will be gained and used, and how-politically-good regulation can be enacted. This Article concludes that it may make sense to develop a …

Closed Adoption: An Illusory Promise To Birth Parents And The Changing Landscape Of Sealed Adoption Records, Bryn Baffer

Catholic University Journal of Law and Technology

Imagine spitting into a tube and mailing your DNA off only to discover that you had a sibling who had been adopted by another family or that a parent’s affair had resulted in a half-sibling. For many individuals, these family secrets have been exposed due to direct-to-consumer DNA testing companies, such as 23andMe.

By the 1950s, most states had enacted statutes that sealed adoption record files in order to preserve the privacy of the birth parents, adoptees, and adoptive families. While some states have moved toward granting adoptees access to their adoption records, most states still have some type of …

Privacy, Eavesdropping, And Wiretapping Across The United States: Reasonable Expectation Of Privacy And Judicial Discretion, Carol M. Bast

Catholic University Journal of Law and Technology

One-party consent and all-party consent eavesdropping and wiretapping statutes are two broad pathways for legislation to deal with the problem of secret taping and some states protect conversation under state constitutions. Whether a conversation is protected against being taped as a private conversation is often gauged by the reasonable expectation of privacy standard. Judges in both all-party consent and one-party consent jurisdictions have had to use their leeway under the reasonable expectation of privacy standard to arrive at what at the time seemed to be the most appropriate solution, perhaps in doing so creating a case law exception.

Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai

All Faculty Scholarship

Policymakers in the United States have just begun to address regulation of artificial intelligence technologies in recent years, gaining momentum through calls for additional research funding, piece-meal guidance, proposals, and legislation at all levels of government. This Article provides an overview of high-level federal initiatives for general artificial intelligence (AI) applications set forth by the U.S. president and responding agencies, early indications from the incoming Biden Administration, targeted federal initiatives for sector-specific AI applications, pending federal legislative proposals, and state and local initiatives. The regulation of the algorithmic ecosystem will continue to evolve as the United States continues to search …

Protecting Online Privacy In The Digital Age: Carpenter V. United States And The Fourth Amendment’S Third-Party Doctrine, Cristina Del Rosso, Carol M. Bast

Catholic University Journal of Law and Technology

The goal of this paper is to examine the future of the third-party doctrine with the proliferation of technology and the online data we are surrounded with daily, specifically after the Supreme Court’s decision in Carpenter v. United States. It is imperative that individuals do not forfeit their Constitutional guarantees for the benefit of living in a technologically advanced society. This requires an understanding of the modern-day functional equivalents of “papers” and “effects.”

Looking to the future, this paper contemplates solutions on how to move forward in this technology era by scrutinizing the relevancy of the third-party doctrine due …

Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subjects of the machine learning systems and for those who deploy them, creating risks for civil liberties and human rights. In this paper, we draw on insights from science and technology studies, anthropology, and human rights literature, to inform how defenses against adversarial attacks can be used to suppress dissent and limit attempts to investigate machine learning systems. To make this concrete, we use real-world examples of how attacks such as perturbation, model inversion, or membership inference …

The Invalidation Of The Eu-Us Privacy Shield And The Future Of Transatlantic Data Flows: Testimony Of Professor Neil Richards Before The United States Senate, Neil M. Richards

Scholarship@WashULaw

This is the prepared testimony and statement for the records, including responses to questions for the record of Professor Neil Richards before the United States Senate Commerce Committee on December 9, 2020. The testimony explains that while Congress has failed to pass a comprehensive privacy bill despite many opportunities, the judgment of the European Court of Justice in Data Protection Commissioner v. Facebook, (commonly known as “Schrems 2”) represents a real opportunity for it to do just that in the near future. The testimony argues first that Congress should not just pass a comprehensive privacy bill, but one that gets …

Welcome To Cordell Perspectives, Neil M. Richards, Jonathan W. Heusel

Scholarship@WashULaw

The world around us is changing. Let’s talk about it together. Introducing a series of articles and opinions by the world’s leading experts concerning COVID-19 as it relates to precision medicine and data privacy: Welcome to Cordell Perspectives.

Tinkering With Circuit Conflicts Beyond The Schoolhouse Gate, Stephen Wermiel

Articles in Law Reviews & Other Academic Journals

No abstract provided.

Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …