Privacy Law Commons^™

A Framework For The Use Of Facial Recognition Technology In Policing: Is Your Face Equivalent To Your Ip Address?, Amirah Farooq

Student Journal of Information Privacy Law

This paper argues that police use of facial recognition technology constitutes a “search” within the meaning of section 8 of the Canadian Charter of Rights and Freedoms and therefore requires prior judicial authorization. Part A provides the background for this argument and begins with a case study of Clearview AI to establish the regulatory gap in Canadian AI legislation. Part B develops this argument by relying on the rules of evidence, the Charter, and analogies drawn from current case law. Part C addresses counterarguments. Part D concludes with a summary of the proposed framework and emphasizes the importance of a …

Cognitive Warfare: Generative Ai, False Realities, And International Humanitarian Law, Gary Corn

Joint PIJIP/TLS Research Paper Series

This paper, written as a draft chapter for the Lieber Institute for Law and Land Warfare's forthcoming book on International Law and Artificial Intelligence in Armed Conflict: The AI-Cyber Interplay, explores the IHL implications of a specific subfield or category of AI—Generative AI (GenAI). This new and rapidly evolving technology does not merely analyze or classify data; it also generates original image, audio, and video content. This synthetic content can be highly deceptive and manipulative, as in the case of so-called “deepfakes.” Combined with other information and communications technologies (ICT) and AI capabilities, GenAI has the potential to drastically transform …

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 …

Social Media’S Death Toll: Who Should Be Held Liable?, Sara Fradi

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

The Deepfake Dilemma: Fake Images, Real Victims, And The Legal Void In Addressing Non-Consensual Deepfake Pornography, Elizabeth A. Safaryn

William & Mary Journal of Race, Gender, and Social Justice

This Note evaluates the various legal remedies available to victims of non-consensual deepfake pornography. As deepfakes are a relatively new but rapidly advancing technology, it is difficult for the law to keep up with the mass creation and distribution of AI-generated images on the Internet. With the competing interest of constitutionally protected speech, current deepfake laws fail to address non-consensual intimate image sharing (NCII) explicitly and lack the necessary deterrent effect to curb their proliferation. With an initial background on deepfakes and machine learning, this Note then explores the strained relationship between the First Amendment and the available civil remedies …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

Agentizing Privacy Preferences Without Privatizing Data Protection Policy, Frank Pasquale, Vanna Carter

Cornell Law Faculty Publications

This essay explores how consumers might exercise newly restored agency in a digital environment increasingly shaped by generative AI. Rather than expecting consumers to read privacy-related terms of service, policymakers should encourage the emergence of Automated Consumer Agents (“ACAs”) capable of interpreting privacy provisions and acting on behalf of users according to their stated preferences. These systems could automatically reject objectionable forms of data extraction, translating consumer values into actionable decisions in online transactions.

Despite this promise, the rise of ACAs would also present new problems. Without supportive policy and legal frameworks, agentization of privacy preferences could itself reproduce or …

Dignity And Deepfakes, Michael Goodyear

Articles & Chapters

Today, we face a dangerous technosocial combination: AI-generated deepfakes and the Internet. Believable and accessible, these deepfakes have already spread sex, lies, and false advertisements across the Internet and targeted everyone from Taylor Swift to middle school students. Dissemination of deepfakes inflicts multifarious dignitary harms against their victims—especially women and LGBTQ+ persons—stripping them of control over their own identities, harming their reputations, and ostracizing them from society through shame.

Yet this is not the first time a new technology for capturing one’s likeness and a method for disseminating images threatened individuals’ dignity. In the late nineteenth century, the right of …

The “Founder’S Gaze”: How The Fourth Amendment Is A Surveillance Technology That Enables Ai To Scale Control Over The Subaltern, Diego H. Alcalá Laboy

Michigan Journal of Race and Law

Much has been written about the rise of artificial intelligence and machine learning applications and how the current Fourth Amendment law has been unable to mitigate the privacy harm that these tools produce. This article explores how the development and usage of AI and machine learning models is dependent on the originalism principles of Fourth Amendment Law. Utilizing Critical Surveillance Studies and Anticolonial Theory, I posit that the Fourth Amendment is a surveillance technology that categorizes conduct, persons, and places to impose the material conditions for the subjugation of historically minoritized communities within the United States. Furthermore, this article explores …

Considering The Concept Of Law In The Legal Singularity, Matthew Tse

Canadian Journal of Law and Technology

This review article engages with the idea of a ‘‘legal singularity”, which has been developed by Abdi Aidid and Benjamin Alarie in their book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better.

The legal singularity describes a legal system in the future that harnesses algorithmic computation to facilitate a ‘‘stable and complete legal order, capable of addressing and resolving practically all types of legal uncertainty in real time and on demand”. Aidid and Alarie believe algorithmic computation will achieve this promise in an interdependent dual process. On one hand, algorithms will structure the law with conceptual standardization. …

Can Ai, As Such, Invade Your Privacy? An Experimental Study Of The Social Element Of Surveillance, Aileen Nielsen

Indiana Law Journal

The increasing use of AI rather than human surveillance puts pressure on two long-used cultural and (sometimes) legal distinctions: as between human and machine observers and as between content and metadata. Machines do more and more watching through advancing technology, rendering AI a plausible replacement for humans in surveillance tasks. Further, machines can commit to surveil only certain forms of information in a way that humans cannot, rendering the distinction between content and metadata increasingly relevant too for crafting privacy law and policy. Yet despite the increasing importance of these distinctions, their legal importance remains in four key domains of …

Facial Recognition Ai, Margaret Hu

Faculty Publications

The integration of algorithmic decisionmaking and artificial intelligence (“AI”) into facial recognition technology poses new, unprecedented risks to privacy and individual autonomy rights, particularly in urban settings. The murder of Brian Thompson, CEO of UnitedHealthcare, in New York City on December 4, 2024, provides a timely case study to examine the deployment of facial recognition systems by the New York Police Department and other law enforcement agencies to identify the suspect. New York City deploys some of the most sophisticated surveillance architecture in the nation, put into place following the terrorist attacks of September 11, 2001. This Article explores the …

Defining Deference: Impacts Of Abandoning Chevron On Emerging Technology Governance And Administrative Law, R. Aubrey Davis Iii

Seattle University Law Review

Emerging technologies, particularly Artificial Intelligence (AI), often lead to unforeseen legal outcomes. Notable abuses in areas such as facial recognition, employment bias, and housing discrimination are well known. However, legislative responses to these issues either have been largely reactive or there has been no legislative response at all. In lieu of legislation, agencies have sought to fill the gap. For example, the Federal Communications Commission (FCC) recently proposed a rule mandating voter notification for all AI-generated political phone calls citing the Telephone Consumer Protection Act (TCPA) of 1991 as authority. However, the TCPA was originally passed to curtail telemarketing, not …

What Copyright Can't Do, Blake E. Reid

Pepperdine Law Review

Copyright has become a powerful regulatory regime for modern American life. Copyrighted works, including text, images, video, sounds, music, and software, coupled with routine, frictionless copying, form a large part of the information, cultural and social context, and infrastructure of our increasingly digital society. Copyright law’s powerful remedies are now positioned to intervene in a wide range of everyday activities. As a result, scholars, policymakers, and advocates have increasingly called for modifying and applying U.S. copyright law to solve a wide range of public policy problems, from vindicating disability rights to protecting privacy to promoting competition among wireless carriers. But …

Ai-Generated Content And Copyright Infringement: Analyzing Corporate Liability In The Era Of Artificial Intelligence, Gloria Domingos, Dr. Daria Koucherets

Seattle University Law Review Online

Recent lawsuits by major content creators against artificial intelligence companies have brought a critical legal question to the forefront: Under current U.S. copyright law, can AI companies be held liable for direct copyright infringement when their systems generate outputs that substantially mirror protected works? This question has gained particular urgency as AI systems like ChatGPT and DALL-E demonstrate increasingly sophisticated capabilities to generate content that may replicate elements of copyrighted materials.

The answer, based on current legal precedent and statutory frameworks, is that AI companies can likely be held liable for direct copyright infringement. However, traditional tests for establishing such …

Keynote Address: The Movement To Protect Kids From Addictive Technologies, Gaia Bernstein

Seattle University Law Review

In this keynote address, I describe my personal journey starting with a school outreach program I created in 2017 to address technology overuse among kids. While I initially advocated for self-help methods, I grew to recognize that the tech industry bore responsibility. This realization led me to write Unwired: Gaining Control over Addictive Technologies, which focused on collective action to pressure the tech industry to redesign its addictive products.

I then describe the movement to control addictive technologies and protect kids, which has gained momentum since the end of the pandemic. This movement combines grassroots parent activism with legal-political action. …

The Ai Doppelgänger Dilemma: Cloned Voices In The Music Industry, Elizabeth Shields

Seattle University Law Review

With the rise of generative artificial intelligence (AI), there has been an influx of “voice clones”—deep-learning algorithms that create synthetic speech to realistically mimic human voices. Celebrities and, in particular, music artists, have been subjected to the proliferation of AI voice clones on social media platforms like TikTok and streaming platforms such as Spotify. Despite music utilizing AI voice clones having amassed much popularity, this technology can be harmful and highly invasive to musicians whose livelihoods often depend on their distinct voices. While legal scholars have attempted to articulate various rights that could protect a person’s voice, individuals are largely …

This Is Not A Game: The Addictive Allure Of Digital Companions, Nizan Geslevich Packin, Karni Chagal-Feferkorn

Seattle University Law Review

Artificial Intelligence (AI) agents have become an inescapable part of modern childhood, reshaping education, leisure activities, entertainment, and social interaction. From AI-powered tutors that adapt to individual learning styles to emotionally responsive chatbots that simulate human companionship, these systems promise unprecedented personalization, cognitive stimulation, and social support. However, these benefits mask significant risks that remain unregulated and inadequately addressed.

Although adults are also susceptible to forming deep emotional bonds with AI companions—often trusting them as if they possessed genuine understanding and empathy—children are particularly vulnerable. Their misplaced trust can more severely distort social development, weaken critical thinking, and foster unhealthy …

Do Ais Dream Of Electric Boards?, Robert J. Rhee

UF Law Faculty Publications

When artificial intelligence (“AI”) acquires self-awareness, agency, and unique intelligence, it will attain ontological personhood. Management of firms by AI would be technologically and economically feasible. The law could confer AI with the status of legal personhood, as it did with the personhood of traditional business firms in the past, thus dispensing with the need for inserting AI as property within the legal boundary of a firm. As a separate and distinct entity, AI could function independently as a manager in the way that legal or natural persons do today: i.e., AI as director, officer, partner, member, or manager. Such …

Impacted Stakeholder Participation In Ai And Data Governance, Margot Kaminski, Gianclaudio Malgieri

Publications

Privacy law has long centered on the individual. But we observe a meaningful shift toward group harm and rights. There is growing recognition that data-driven practices, including the development and use of artificial intelligence (AI) systems, affect not just atomized individuals but also their neighborhoods and communities, including and especially situationally vulnerable and historically marginalized groups.

This Article explores a recent shift in both data privacy law and the newly developing law of AI: a turn towards stakeholder participation in the governance of AI and data systems, specifically by impacted groups often though not always representing historically marginalized communities. In …

The Impact Of Artificial Intelligence On Copyright Infringement Liability, Sarah M. Rizzo

Touro Law Review

Although the rise of artificial intelligence platforms has been promoted as a solution to many of our problems, it is important to address the possible issues this new technology may be creating. With artificial intelligence evolving at such a rapid rate, questions arise as to how to effectively regulate and control this technology. Specifically, in the realm of intellectual property, how will copyright protection be ensured and how will liability for copyright infringement be apportioned with the expanding use of artificial intelligence? Users of artificial intelligence platforms should be able to employ such artificial intelligence products freely and confidently without …

The Law Of Digital Resurrection, Victoria J. Haneman

Scholarly Works

The digital right to be dead has yet to be recognized as an important legal right. Artificial intelligence, augmented reality, and nanotechnology have progressed to the point that personal data can be used to resurrect the deceased in digital form with appearance, voice, emotion, and memory recreated to allow interaction with a digital app, chat bot, or avatar that may be indistinguishable from that with a living person. Users may now have a completely immersive experience simply by loading the personal data of the deceased into a neural network to create a chatbot that inherits features and idiosyncrasies of the …

Artificial Intelligence And The Hipaa Privacy Rule: A Primer, Stacey A. Tovino

Faculty Articles

No abstract provided.

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping”—the automated extraction of large amounts of data from the internet. A great deal of scraped data contains people’s personal information. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archiving of records, and meaningful scientific research, scraping for AI can also be objectionable and even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this …

The Privacy Act Of 1974: The American Bill Of Rights On Data And Its Unfinished Business, Dongsheng Zang

Articles

In the midst of the artificial intelligence (“AI”) revolution and the debates around it in 2023, this Article proposes to revisit the history of the Privacy Act of 1974, a federal statute that attempted to revolutionize the notion of privacy in response to automated data processing in the computer age. By recognizing that an individual should have the right to control data about herself, the 1974 Act went beyond the Warren-Brandeis framework of privacy based on tort law—the 1974 Act was essentially an American Bill of Rights on data.

The Article first tracks the conceptual development of this new idea …

The False Choice Between Digital Regulation And Innovation, Anu Bradford

Northwestern University Law Review

This Article challenges the common view that more stringent regulation of the digital economy inevitably compromises innovation and undermines technological progress. This view, vigorously advocated by the tech industry, has shaped the public discourse in the United States, where the country’s thriving tech economy is often associated with a staunch commitment to free markets. U.S. lawmakers have also traditionally embraced this perspective, which explains their hesitancy to regulate the tech industry to date. The European Union has chosen another path, regulating the digital economy with stringent data privacy, antitrust, content moderation, and other digital regulations designed to shape the evolution …

Information Accountability Foundation Names Two Maurer Faculty To Leadership Positions, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

he Information Accountability Foundation (IAF) has appointed two Indiana University Maurer School of Law faculty to lead the organization.

Fred H. Cate, a distinguished professor and C. Ben Dutton Professor of Law, was named the nonprofit think tank’s new executive director, while Stan Crosley, an adjunct faculty member and 1994 graduate of the Law School, was appointed chief policy strategist.

Founded in 2013, the IAF works with global regulators and industry executives to promote organizational accountability, data stewardship, and data ethics. Its mission is to help regulators and responsible companies better understand the challenges around Artificial Intelligence and data governance …

Can Federated Learning Solve Ai’S Data Privacy Problem?: A Legal Analysis, Warren B. Chik, Florian Gamper

Research Collection Yong Pung How School Of Law

Federated learning (FL) is a method of training AI systems on different datasets without sharing data. The promise of FL is to enable AI systems to be trained on data, including personal data, while preserving data privacy and confidentiality, and thus, inter alia, facilitate compliance with data protection legislation. FL has generated a considerable interest amongst the computer science community, yet there is a dearth of legal analysis of FL. This is a problem because the question of whether FL facilitates compliance with data protection legislation is a legal question. This article will fill this lacuna by providing a comprehensive …

Regulating Algorithmic Harms, Sylvia Lu

Law & Economics Working Papers

In recent years, the rapid expansion of artificial intelligence (AI) innovations has led to a rise in algorithmic harms—harms emerging from AI operations that pose significant threats to civil rights and democratic values in today’s technological landscape. A facial recognition system for improving criminal detection wrongly collected sensitive personal data and flagged racial minorities as shoplifters. A risk-prediction algorithm adopted to identify patients denied medical treatment to Black individuals with poor health conditions. A social media algorithm intended to boost social engagement exacerbated addictive behavior and mental illness in teenagers. These harms are becoming increasingly ubiquitous yet often manifest in …

Aligned With The Blueprint For An Ai Bill Of Rights? An Ai Transparency Evaluation Of Company Privacy Notices And Explanations, Jonathan A. Obar, Giuseppina D'Agostino, Motunrayo Akinyemi

Conference Papers

In its Blueprint for an AI Bill of Rights, the White House lists “notice and explanation” as one of five principles fundamental to protecting the American public as artificial intelligence (AI) is deployed. The Blueprint states “[y]ou should know that an automated system is being used and understand how and why it contributes to outcomes that impact you.” In its description of the notice/explanation principle, The White House emphasizes the importance of plain language explanations about AI use. Furthermore, a company should describe how it plans to use AI systems, how the systems work, and explain any risks to consumers. …