Computer Law Commons^™

The Artificial Intelligence Trolley Problem: Governance In The Post-Chevron World, James M. Cooper, Kashyap Kompella

SMU Science and Technology Law Review

This Essay addresses a growing Constitutional challenge in public governance: the increasing delegation of consequential decisions to algorithmic systems that encode value trade-offs between liberty and security, equity and efficiency, and expression and control, without visibility, legal justification, or institutional oversight. We view this hidden normative choice an example of the “Artificial Intelligence (AI) Trolley Problem.” Like the classic moral dilemma, it involves unavoidable sacrifices among competing goods. Unlike its philosophical counterpart, however, algorithmic trade-offs occur silently. They are embedded in data proxies, optimization logic, and model design, and insulated from scrutiny by claims of technical neutrality. This Essay argues …

Top Ten Biotechnology Patent Cases Of 2024: Loper Bright, Federal Circuit Turmoil, Patent Term Adjustment, And Naturally Occurring Nucleic Acids, Kevin E. Noonan, Andrew W. Torrance

SMU Science and Technology Law Review

A pivotal year for biotechnology patent law, 2024 was marked by consequential court rulings and evolving legal frameworks. This article surveys the ten most significant judicial decisions impacting biotech patents, highlighting major themes and trends in policy, litigation, and regulation. Courts at all levels grappled with core patentability requirements in the life sciences, from the Supreme Court’s continued laissez-faire stance on subject-matter eligibility to the Federal Circuit’s stringent enforcement of disclosure sufficiency rules.

Lipstick On A Slaughtered Piggybank: Civil Rico Against “Pig Butchering” Cryptocurrency Investment Schemes, Samantha B. Larkin

Roger Williams University Law Review

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Fair-Enough Ai, Jane R. Bambauer, Tal Z. Zarsky

UF Law Faculty Publications

AI is unfair. It can be inaccurate (in several ways), biased (in several ways, and to several groups), disproportionate, exploitable, and opaque. The policy world is awash in AI-governance frameworks, ethical guidelines, and other policy documents, but these lack concrete standards and provide little guidance on how to select between competing versions of (un)fairness. In other words, they abdicate the responsibility of setting priorities among values. At the same time, many of the policy documents harshly criticize AI and algorithmic tools for deficiencies in some particular aspect of fairness without considering whether alternative designs that fix the problem would make …

Confronting The Challenges Of Regulating Artificial Intelligence, Amy B. Cyphert

FIU Law Review

Public opinion polls conclude that the American public is in favor of regulating artificial intelligence (“AI”), and many technology companies publicly claim that they would welcome regulation. And yet the United States has struggled to enact federal comprehensive AI regulations beyond a short-lived Executive Order. Why? Part I of this Article explains why regulating AI is so difficult, focusing on six key reasons: AI is a global issue; AI is not one discrete issue; AI is developing at a speed that is unprecedented; lawmakers largely lack the technical expertise effective AI regulation requires; the stakes of getting the regulation wrong …

Internet Search Engines’ Privacy Violations And The Lack Of Federal Regulation To Protect Consumers Rights, Elsa M. G. Rodriguez Ogando

Dickinson Law Review (2017-Present)

The United States’ current legal framework regarding internet search engines is disadvantageous to consumers. Federal privacy laws (although not encompassing search engines) grant businesses a strong legal basis in privacy claims and alibies for arbitrary behavior; these laws favor businesses over consumers. Moreover, state privacy laws empower nonspecific agencies to oversee privacy matters and enforce consumers’ rights. Thus, the U.S. privacy legal framework is in need of a new federal law that establishes consumers’ rights, as well as a federal agency dedicated solely to privacy matters. This Article proposes a federal law recommendation based on the standards of the California …

Chronically Online: Apportioning Liability In Social Media Litigation Based On User Engagement, Rebecca Vangelos

Fordham Law Review

The average American teenager spends nearly five hours on social media every day. This result is by design: social media platforms like Instagram, Snapchat, and TikTok deploy persuasive technologies—including infinite scroll, personalized content recommendation feeds, and dark patterns—to capture and retain teen attention. These intentional design features exploit adolescent vulnerabilities to foster social media dependency. Accordingly, a growing body of scientific evidence links the extensive use of social media to the teen mental health crisis in the United States.

Despite these negative effects, social media companies have largely evaded accountability for the harm they have caused to teens. Recent lawsuits …

Fighting The Hypothetical: Why Law Firms Should Rethink The Billable Hour In The Generative Ai Era, Nancy B. Rapoport, Joseph R. Tiano Jr.

Scholarly Works

“Fighting the Hypothetical: Why Law Firms Should Rethink the Billable Hour in the Generative AI Era” analyzes how the emergence and adoption of generative artificial intelligence (GenAI) will fundamentally disrupt the traditional billable hour model that has dominated the industry since the 1960s. Professor Rapoport and Mr. Tiano contend that GenAI’s ability to perform routine legal tasks quickly and accurately will force law firms to shift away from billing structures based primarily on time spent (or inputs) and toward models that better reflect client value (or outputs).

The authors interviewed law firm leaders to gain an “in the trenches” view …

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Regenerating Justice: Chatgpt And The Legal Minefield Of Generative Ai, Katie Szilagyi

Canadian Journal of Law and Technology

This paper adopts an automation bias lens to cast doubt on the growing claims that GenAI is a transformational tool for legal industry. In this context, automation bias refers to the well-known psychological phenomenon in which human decision-makers unwittingly defer to automated processes, flowing from overreliance on the accuracy of the automation. Even well-meaning individuals aiming to keep a “human-in-the-loop” of any automated decision can fall prey to this well-documented phenomenon, trusting the technology more than it deserves to be trusted. Champions for current GenAI technologies often do acknowledge limitations within the existing landscape of tools, like GenAI’s tendency to …

Unveiling The Environmental Impact Of Large Language Models On Indigenous Communities: A Call For Action And Liability, Nina-Simone Edwards

Library Scholarship

Large Language Models (LLMs) have rapidly gained popularity for their language generation and comprehension capabilities, promising increased efficiency in various sectors. However, while celebrated for their transformative potential, LLMs exacerbate current climate issues. This Article highlights the detrimental environmental footprint of LLMs, with a focus on their role in escalating climate change and their disproportionate effects on Indigenous communities. These communities, closely tied to their land, bear the brunt of environmental degradation, further aggravated by LLM-induced emissions.

This Article first dissects the interplay between environmental justice and technological innovation, advocating for a reevaluation of the trust relationship between tribal nations …

Gig Work At What Cost? Exploring Privacy Risks Of Gig Work Platform Participation In The U.S., Amogh Pradeep, Johanna Gunawan, Álvaro Feal, Woodrow Hartzog, David Choffnes

Faculty Scholarship

In recent years, "gig work" platforms have gained popularity as a way for individuals to earn money; as of 2021, 16% of Americans have at some point earned money from such platforms. Despite their popularity and their history of unfair data collection practices and worker safety, little is known about the data collected from workers (and users) by gig platforms and about the privacy dark pattern designs present in their apps.

This paper presents an empirical measurement of 16 gig work platforms' data practices in the U.S. We analyze what data is collected by these platforms, and how it is …

Normalizing Facial Recognition Technology And The End Of Obscurity, Woodrow Hartzog, Evan Selinger, Judy Hyojoo Rhee

Faculty Scholarship

This article argues that facial recognition technology is the most dangerous surveillance tool ever invented. Given the unique threats this morally suspect tool poses to privacy, civil liberties, human flourishing, and democracy, the only appropriate response is a ban. To justify our position, we explain why facial recognition is distinctive among biometrics, clarify how even seemingly benign and positive uses of the technology can trigger dangerous normalization dynamics, and pinpoint why current United States laws (with reverberations in the EU’s AI Act) are designed to accelerate a slippery slope that makes mass surveillance nearly inevitable. Our most fundamental contribution lies …

Shoot The Messenger: Why Section 230 Does Not Shield Suggestive Content Delivery, Alexander Heinkele

Cardozo Law Review de•novo

Internet companies have frequently relied on Section 230 of the Communications Decency Act of 1996 to avoid liability for third-party content hosted on their platforms. However, over time, companies began to take advantage of the broad cover of Section 230 in circumstances outside the statute’s original scope. This Note advocates for a more nuanced interpretation of the statute as it applies to suggestive algorithms and offers a proposal for amending Section 230 to better reflect the modern digital landscape.

What Is Copywritable In Software?, Charles Duan

Scholarly Articles in Law Reviews & Journals

No abstract provided.

Ai Ethics, Law, And Policy, Pauline Kim, Ryan Durrie

Scholarship@WashULaw

AI technologies promise many benefits, but they can also have significant negative impacts on human health, safety, well-being, and fundamental rights. This chapter explores the different governance tools that have been considered for guiding developments in AI in socially beneficial ways, examining the relevance of ethics, law, and policy. Each of these approaches offer tools to address these concerns; however, each has limitations, and none provides a complete solution in itself. Statements of ethical principles can articulate high-level values and goals to guide behavior but are usually quite vague and difficult to operationalize. They also lack any enforcement mechanism. In …

Foundations For Platform Liability, Kathryn E. Spier, Rory Van Loo

Faculty Scholarship

From spreading misinformation to selling deadly products, bad actors use technology platforms to their advantage while causing devastating harms to privacy, health, and even democracy. Despite their central role in enabling these bad actors, the platforms almost entirely escape liability. This legal immunity is purportedly grounded in economics. From the beginning, courts and legislatures feared that liability would chill innovation, growth, and user access. They also speculated that platforms have sufficient market incentives to voluntarily police bad actors, making liability unnecessary.

Whereas many scholars have argued that platform immunity is blind to justice, this Article shows that it is also …

The Sky’S Not The Limit: Navigating Starlink’S Impact On Global Connectivity And Regulation, Michael N. Hillebrand

SMU Science and Technology Law Review

This case note examines the governance implications arising from the onset of accelerated satellite internet expansion and explores potential regulatory solutions for effective governmental oversight. Due to the interconnected nature of the internet and its global network, international organizations and treaties play a crucial role in content and data regulation, and rapid technological evolution presents increasing difficulties for these regulatory frameworks to keep pace. These challenges are particularly evident in satellite-based broadband internet services, with SpaceX’s Starlink emerging as the most prominent and currently relevant service in this domain. Proponents of this technology emphasize its ability to provide internet access …

Transportation Security Administration Use Of Facial Recognition Technology: Turbulence Surrounding Traveler Rights, Mckenly Redmon

SMU Science and Technology Law Review

Facial recognition technology has been employed by law enforcement agencies and private companies for decades. This technology promises safer and more efficient processes to identify individuals in the name of safety. However, not everyone approves of their biometric data being collected. This Article provides an overview of the current use of facial recognition technology by the Transportation Security Administration (TSA) in airport security checkpoints. It begins by explaining the underlying technology behind facial recognition and explores the safety and security concerns behind it. Building on this foundation, this Article then evaluates how the TSA’s use of facial recognition influences science …

Data Scraping For Generative Ai—To What Extent?, Jae Yeon Cecilia Kim

Brooklyn Journal of Corporate, Financial & Commercial Law

Generative AI platforms are developed by scraping data from other platforms. This raises complex copyright infringement issues that are yet to be resolved. Courts have attempted to address these problems using the fair use doctrine, which evaluates four factors to determine whether a use infringes on copyright: (1) the purpose and character of the use, (2) the nature of the use, (3) the amount and substantiality of the copyrighted work’s use, and (4) the impact of the use on the market for the original work. Despite efforts to apply this long-established doctrine, challenges persist, including difficulties in identifying the copyright …

I Ain't Afraid Of No Ghost…Kitchen! A New Realm Of Consumer Protection After The Inform Consumers Act, Johanna Silva

Brooklyn Journal of Corporate, Financial & Commercial Law

The effects of the COVID-19 pandemic were pervasive, sparing none from its impact. However, the restaurant industry bore an even greater change and a heavier burden than most. At the height of the pandemic, some 110,000 restaurants shut down. QR codes replaced paper menus, street parking transformed into outdoor dining sheds, and Friday night dinners at the “great spot on the corner” became takeout orders from the couch. Reopening was an unpredictable gamble for restaurant owners, fraught with tiered plans and inconsistent regulations on safe and unsafe dining practices. The desperate search for creative solutions to stay in business propelled …

Emerging Compliance In The Generative Decentralized Era, Nizan Geslevich Packin

Brooklyn Journal of Corporate, Financial & Commercial Law

Is it the end of compliance as we know it? Emerging technologies such as Artificial Intelligence (“AI”), including Generative AI (“GenAI”), and blockchain are reshaping regulatory compliance in the Web 3.0 era. As machine-generated data becomes the norm, traditional models reliant on human oversight are becoming obsolete, necessitating swift adaptation from regulators and industry stakeholders. Historically, compliance was designed to be managed by humans due to the need for critical thinking, ethical considerations, and nuanced decision-making. Yet, in today’s era, this approach is no longer viable. Addressing this need, Regulatory Technology (“RegTech”) has played a key role in modernizing compliance …

Chilling Victims’ Rights: The Supreme Court Creates A “Pride Of Place” For True Threats, Ana Maria Matovic

Dickinson Law Review (2017-Present)

Living in the Information Age means that information is literally always at our fingertips. This also means that keeping tabs on one another is as easy as a tap on a screen. The effortless ability to follow another’s life on the internet has led to a sinister phenomenon: cyberstalking. Prosecuting cyberstalking cases poses complex constitutional challenges. Specifically, prosecuting these cases may clash with a perpetrator’s First Amendment right to free speech. However, the First Amendment does not protect all categories of speech. One of those unprotected categories is the category of “true threats.” If a perpetrator’s conduct constitutes a “true …

The Outer Limits Of Digital Privacy Protections: A Review Of The Privacy Fallacy, Michael Conklin

Dickinson Law Review (2017-Present)

No abstract provided.

Rising Internet Shutdowns In India: A Legal Analysis, Shrutanjaya Bhardwaj, Nakul Nayak, Raja Venkata Krishna Dandamudi, Sarvjeet Singh, Veda Handa

Indian Journal of Law and Technology

The central theme of this paper is to critically study the interplay of internet shutdowns with the right to freedom of speech and expression. A study of this nature is necessitated by India’s abysmal record with inter- net shutdowns. We must hence begin examining Internet shutdowns seriously within the Indian constitutional framework. In the recent judgment of Anuradha Bhasin, the Supreme Court has accepted that Article 19(1)(a) protects the right to disseminate and receive information through the internet. Therefore, the constitutional validity of every internet shutdown would have to be tested (at least) against the three standards ordinarily applied …

Sharing Of Children’S Health Data By Health Professionals And Parents – A Consideration Of Legal Duties, Dr. Carolyn Johnston

Indian Journal of Law and Technology

Children’s health data such as blood pressure, X-rays and written notes of medical examinations are produced in a clinical setting through health professionals’ interaction with their minor patients. Health care practitioners owe legal and professional obligations not to disclose such information without consent or other legally recognised authorisation. With the increasing advent of data generated by patients themselves from wearable devices such as continuous glucose monitors and health apps, the patient, or parents, have initial control of the data and decide who to share it with. Where wearable devices have been provided to parents by the child’s health care provider …

Conceptualizing An International Framework For Active Private Cyber Defence, Arindrajit Basu, Elonnai Hickok

Indian Journal of Law and Technology

Private sector cyber defence mechanisms are emerging despite existing legislation outlawing use of active defence by individuals and non-state entities. Thus, a key window exists for policy-makers in the possibility of establishing a framework for existing APCD practices that would enable optimal utilisation of private sector capabilities for securing cyber-space at an organizational and national level. This must happen in consonance with circumscribing their operations within the boundaries of the rule of law, both in terms of domestic legislation and international law. This paper seeks to unpack the complexities that underscore each of these challenges and identify avenues towards resolving …

Facing Up To The Risks Of Automated Facial-Recognition Technologies In Indian Law Enforcement, Ameen Jauhar

Indian Journal of Law and Technology

Within the larger discourse of risk mitigation of emerging technologies, the ever-expanding deployment of automated facial recognition technology (‘AFRT’) has garnered much skepticism. In India too, there has been a reported rise of states and law enforcement officials enthusiastically resorting to the use of AFRT.

The author will first delve into some of the controversial risks associated with AFRT, analysing them through the lens of Article 21 and the principle of due process under the Indian Constitution. The paper will then identify some of the regulatory solutions that are currently part of the discourse on minimising risks of AFRT and …

Taxation Of Information And The Data Revolution, Yariv Brauner

UF Law Faculty Publications

Existing and universal income tax rules are inherently incompatible with an economy in which information-based transactions play a significant role. This Article contends that income taxation is incapable of taxing information effectively. It goes on to argue that this incapability currently necessitates reform, and it offers three viable paths to such reform: consumption taxation, data taxes, and formulary taxation. The Article concludes that formulary taxation is currently the most desirable and plausible path to effective reform, owing to its promise to best stabilize and maintain the legitimacy of the international tax regime.