Brokering Safety,
2026
Fordham Law School
Brokering Safety, Chinmayi Sharma, Thomas E. Kadri, Sam Adler
Articles
For victims of abuse, safety means hiding. Not just hiding themselves, but also their contact details, their address, their workplace, their roommates, and any other information that could enable their abuser to target them. Yet today, no number of name changes and relocations can prevent data brokers from sharing a victim's personal information online. Thanks to brokers, abusers can find what they need with a single search, a few clicks, and a few dollars. For many victims, then, the best hope for safety lies in obscurity-that is, making themselves and their information harder to find.
This Article exposes privacy law's …
On Predicting And Stopping Dystopia,
2026
Boston University School of Law
On Predicting And Stopping Dystopia, Evan Selinger, Woodrow Hartzog
Faculty Scholarship
Is it reasonable to be dystopian about how the future will likely unfold? We think so. For some time, we have been arguing that facial recognition technology is a perfect tool of oppression, and that its pernicious affordances are leading society down a slippery slope toward the evisceration of privacy by obscurity. This is a soft form of “determinism”—the notion that while technology is not an unstoppable force and the future is not preordained, there nevertheless are identifiable factors, such as the invitingness of affordances, human nature, and incentives that drive technology in certain directions and make some social outcomes …
Ex Post Transparency: Shattering The One-Way Mirror,
2026
Chinese University of Hong Kong
Ex Post Transparency: Shattering The One-Way Mirror, Ruifeng Song
University of Richmond Law Review
The digital world is becoming a one-way mirror: tech companies gain unprecedented knowledge of individuals who remain ignorant of how companies handle their data. Tech giants have been able to discreetly train their artificial intelligence models on vast troves of personal data, raising privacy concerns. This shows that we have yet to fully learn the lessons of the Cambridge Analytica scandal, where the infamous company misused the personal data of millions of people until the misdeeds were revealed by whistleblowers. A largely overlooked aspect of the scandal is that the law failed to enable timely detection of anomalies because data …
A Legal Transplant Failure In The Ai Age,
2026
University of Washington School of Law
A Legal Transplant Failure In The Ai Age, Xuan-Thao Nguyen
Articles
Thailand positions itself as the new AI-driven innovation hub in the Southeast Asia region as Big Tech companies invest billions in building new data centers to power the AI transformations in all sectors in Thailand. An integral part of Thailand’s new ambition is the legal transplant of personal data protection law from Europe. The transplant, however, is of form, not substance, as this Article illustrates the failure through in-depth analysis of Thailand’s Personal Data Protection Act and provides evidence of rampant violations and noncompliance by the largest ecommerce conglomerate and SMEs. This Article offers suggestions for Thailand to realign its …
We Robot 2025: Connecting Global Robotics And Ai Governance Experts In Canada,
2026
University of Windsor, Faculty of Law
We Robot 2025: Connecting Global Robotics And Ai Governance Experts In Canada, Kristen Thomasen, Suzie Dunn
Canadian Journal of Law and Technology
This special We Robot issue of the Canadian Journal of Law and Technology is particularly ‘‘special” to us for a variety of reasons. It presents an important opportunity to highlight the interdisciplinarity required to meaningfully engage with robotics and artificial intelligence (‘‘AI”) regulation. It highlights the growing international connections among law and technology scholars. And it features many of the cutting-edge papers from one of the world’s premier law and robotics conferences, We Robot.
The thirteenth annual We Robot 2025 conference was held at the University of Windsor in April 2025. This conference marked the first ever in-person gathering of …
The Racialized Treadmill Of Robotic Agriculture: Colonial Legacies, Legal Exceptionalism, And Labour Control,
2026
University of Windsor, Faculty of Law
The Racialized Treadmill Of Robotic Agriculture: Colonial Legacies, Legal Exceptionalism, And Labour Control, Vasanthi Venkatesh
Canadian Journal of Law and Technology
The title of this paper draws on two historical meanings of the word ‘‘treadmill”. First, it references the economic concept of the ‘‘agricultural technology treadmill”, which describes how technological advances in farming lead to market consolidation, pushing smaller producers out while benefiting agribusiness oligopolies. Second, it invokes the literal treadmill, which was invented in 1818 as a punitive labour technology and a ‘‘rational” tool to discipline racialized and indentured labourers in colonial plantations. By connecting these two threads in agricultural technology — economic domination and racialized labor control — this paper examines how robotics and automation in modern agriculture perpetuate …
To Smile Or Not To Smile? What Policymakers Need To Know About The Interplay Between Expressive Robotics And Public Perception,
2026
Oregon State University
To Smile Or Not To Smile? What Policymakers Need To Know About The Interplay Between Expressive Robotics And Public Perception, Adeline Schneider, Waseq Billah, Naomi T. Fitter
Canadian Journal of Law and Technology
The growing presence of autonomous delivery robots (ADRs) in public spaces has introduced new challenges regarding public perception, safety, and policy regulation. While ADRs provide a convenient, contactless delivery solution, there has been little research exploring how their design influences public acceptance and regulatory concerns. This study investigates the impact of expressive robotic features on perceptions of ADRs through a between-subjects online survey comparing two ADR models: the expressive Dax robot and the more widely deployed Starship robot. Participants answered questions about the robots’ expressivity and policy-relevant perceptions surrounding the robot. Findings showed a mix of enhancements from added robot …
Interoperable Ai Regulation,
2026
McGill University Faculty of Law
Interoperable Ai Regulation, Jennifer Raso
Canadian Journal of Law and Technology
This article explores ‘‘interoperability” as a new goal in AI regulation in Canada and beyond. Drawing on sociotechnical, computer science, and digital government literatures, it traces interoperability’s conceptual genealogy to reveal an underlying politics that prioritizes harmony over discord and consistency over plurality. This politics, the article argues, is in tension with the distinct role of statutory law (as opposed to regulation) in a democratic society. Legislation is not simply a technology through which one achieves the smooth operation of governance. Rather, legislation is better understood as a ‘‘boundary object”: an information system through which members of different communities make …
Generating Personal Data And The Gdpr Conceptualizing, Analyzing, And Recognizing Generated Personal Data,
2026
Vrije Universiteit Brussel Research Group on Law Science, Technology & Society
Generating Personal Data And The Gdpr Conceptualizing, Analyzing, And Recognizing Generated Personal Data, Hideyuki Matsumi
Canadian Journal of Law and Technology
In 2014, to fight the littering problem, an environmental group posted portraits of potential litterbugs on public streets. The group extracted DNA from tossed cigarettes, coffee cups, or condoms, and generated the possible likeness of individuals whose DNA was found from these items in public. Similarly, in 2017, detectives working on a cold case sent DNA found at the crime scene of a homicide and sexual assault victim from 1990 to a company that claims it ‘‘can turn DNA into a face”. Subsequently, detectives published the ‘‘predicted face” in an attempt to solicit tips from the public. In 2020, they …
R-Ai-Sing Questions: Exploring The Ethical And Legal Landscape Of Artificial Intelligence-Generated Media Of Medicalized Children,
2026
University of Windsor Faculty of Law
R-Ai-Sing Questions: Exploring The Ethical And Legal Landscape Of Artificial Intelligence-Generated Media Of Medicalized Children, Kristen Thomasen, Gregorio Zuniga-Villaneuva, Muhammed Mukadam, David Lysecki
Canadian Journal of Law and Technology
When it comes to complex medical care for children, even in a country like Canada with many publicly funded healthcare services, much of the necessary research and holistic support for children and families is financed through private donations. Fundraising campaigns for children’s hospitals and services are common, often featuring movie stars, professional athletes, and many child patients. A range of important charitable activities, providing comfort, services, and necessities such as food and accommodation to children and families, are carried out through fundraising and donations. Fundraising for children’s services is a multibillion-dollar global undertaking. What’s more, it is largely dependent on …
Game Face: Legal Tackle On Facial Recognition And Privacy Rights At Nfl Games,
2026
University of Windsor Faculty of Law
Game Face: Legal Tackle On Facial Recognition And Privacy Rights At Nfl Games, Shanthi E. Senthe
Canadian Journal of Law and Technology
The unprecedented rapid uptake of facial recognition technology (‘‘FRT”) in commercial and public spaces for data capture and surveillance has entrenched every aspect of our daily lives from mundane tasks, such as grocery store shopping to family and experiential moments, such as participation in spectator sports. As such, the rapid adoption and integration of FRT into sports security is reshaping aspects of sporting events and fan experiences, often without adequate consideration of privacy and ethical implications. Professional sports leagues, specifically the NFL, are in the process of adopting the use of this type of technology to enhance security measures, streamlining …
Consensus Ad Artificialis: Contract Theory Meets The Genai Mind,
2026
University of Manitoba Faculty of Law
Consensus Ad Artificialis: Contract Theory Meets The Genai Mind, Katie Szilagyi, Marina Pavlovic´
Canadian Journal of Law and Technology
The advent of generative AI (GenAI) has generated shockwaves across industries. Many established professions are grappling with how GenAI’s functionality transforms their daily activities, staying power, and raison d’eˆtre. GenAI’s newfound facility with words and language has rapidly encroached upon the purview of lawyers, whose trade has long been expertise with words. While some worry about lawyers’ place in a GenAI-oriented future economy, others are optimistic about the transformative potential GenAI offers as a tool to the practicing lawyer. Legal service providers have been quick to adopt GenAI tools in the name of efficiency, harnessing its generative power for tasks …
Ai, Antitrust, And The Marketplace Of Ideas,
2026
University of Tennessee Winston College of Law
Ai, Antitrust, And The Marketplace Of Ideas, Maurice E. Stucke
Fordham Law Review
No abstract provided.
Scraping Bad: The Case For A Unified Scraping Framework,
2026
Washington and Lee University School of Law
Scraping Bad: The Case For A Unified Scraping Framework, Eunchong Moses Park
Washington and Lee Law Review Online
This Note explores the growing legal and regulatory landscapes of web scraping in the United States and argues that web scraping should be regulated through a unified federal framework tailored to its unique technological and economic realities. Web scraping allows organizations to collect massive amounts of data essential to their operational needs—often without the consent of data holders. Thus, web scraping has become a powerful engine of innovation used across virtually every sector of the economy but with a serious risk to privacy and property interests. Yet the current U.S. legal framework lacks a coherent regulating structure. Courts and litigants …
Kodak To Deepfakes: Publicity Rights And Abuse Of Our Likenesses,
2026
New York Law School
Kodak To Deepfakes: Publicity Rights And Abuse Of Our Likenesses, Michael Goodyear
Other Publications
No abstract provided.
Negligent Hiring: Recidivism And Employment With A Criminal Record,
2026
Northwestern Pritzker School of Law
Negligent Hiring: Recidivism And Employment With A Criminal Record, Benjamin Pyle
Northwestern University Law Review
This Article tackles a difficult legal and policy challenge— reducing the impact of criminal records on job applicants’ chances in a manner that does not spur more discrimination—by looking at how another area of law, tort liability, impacts employers’ decision-making. It uses theoretical and empirical methods to study the most common reason employers report being reluctant to hire workers with a criminal record: legal liability generated by the tort of negligent hiring. While the purpose of the tort is ostensibly to protect and make whole those harmed when an employee misbehaves in a foreseeable manner, I show that, in practice, …
Reimagining Graphical Representation: A Case Comment On The Registration Of India’S First Scent Trademark,
2026
National Law School of India University
Reimagining Graphical Representation: A Case Comment On The Registration Of India’S First Scent Trademark, Siddhant Shinde
Indian Journal of Law and Technology
This case comment analyses the Trade Marks Registry’s decision of permitting the registration of India’s first scent trademark, filed by Sumitomo Rubber Industries Ltd. for a “smell reminiscent of roses as applied to tyres”. This decision raises a key question concerning the graphical representation requirement under the Trade Marks Act, 1999. While the Registry accepted a seven-dimensional scientific vector model of the scent as sufficient graphical representation, the Order offers little engagement with the legal reasoning required to support such a departure from conventional understandings of graphical representation. Thus, this case comment attempts to doctrinally justify such an interpretive expansion …
Kennelly V. Mid Coast And The Maine Law Court's Erroneous Ruling On The Discoverability Of Redacted Patient Info,
2026
University of Maine School of Law
Kennelly V. Mid Coast And The Maine Law Court's Erroneous Ruling On The Discoverability Of Redacted Patient Info, John Blegen
Student Journal of Information Privacy Law
This paper examines a recent Maine Law Court decision, Kennelly v. Mid Coast, in which the Law Court held that the medical records of individuals not involved in a lawsuit, even when redacted of identifying materials, are protected from discovery orders in a malpractice lawsuit, where the records would be used to demonstrate a standard of care to be expected of the administering doctor. It then examines the privacy interests individuals retain in their redacted healthcare records more broadly, in part to emphasize the large variety of contexts in which this issue can come up, and also to show how …
Can Ai Fix Anti-Money Laundering? The Case For Federated Intelligence In Financial Crime Prevention,
2026
University of Maine School of Law
Can Ai Fix Anti-Money Laundering? The Case For Federated Intelligence In Financial Crime Prevention, Matthias Connelly
Student Journal of Information Privacy Law
The global anti-money laundering (AML) regime is failing. Trillions of dollars are laundered each year, yet governments detect only a fraction of that activity, even as financial institutions spend hundreds of billions on compliance. In the United States, AML regulation has evolved from a retrospective, prosecution-oriented framework into an expansive, preventative regime that measures inputs rather than enforcement outcomes. Although artificial intelligence has demonstrated potential to improve detection, firm-siloed AI systems introduce substantial financial, technological, and systemic risks, including prohibitive development costs, data- privacy constraints, and market concentration among third-party service providers. This Article argues that federated learning offers a …
Friend Or Tether: How Regulation Can Cut The Strings Of Manipulative Chatbots,
2026
University of Maine School of Law
Friend Or Tether: How Regulation Can Cut The Strings Of Manipulative Chatbots, Steve Hammerton
Student Journal of Information Privacy Law
In the time since AI chatbots and other LLMs became widely available to the public, there has been a pattern of deaths linked to interactions with this technology. While it was settled in early 2026, Garcia v. Character Technologies serves as a case study of how AI chatbots can negatively prey on vulnerable groups in the absence of interventions to mitigate harmful AI behaviors and tragic human outcomes. There is not a singular approach to regulating the harmful effects of predatory chatbots; however, this paper advocates for a harms-based regime influenced by protections in human-subject research. In a sense, AI …
