Computer Law Commons^™

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.

Law-Following Ai: Designing Ai Agents To Obey Human Laws, Cullen O'Keefe, Ketan Ramakrishnan, Janna Tay, Christoph Winter

Fordham Law Review

Artificial intelligence (AI) companies are working to develop a new type of actor: “AI agents,” which we define as AI systems that can perform computer-based tasks as competently as human experts. Expert-level AI agents will likely create enormous economic value but also pose significant risks. Humans use computers to commit crimes, torts, and other violations of the law. As AI agents progress, therefore, they will be increasingly capable of performing actions that would be illegal if performed by humans. Such lawless AI agents could pose a severe risk to human life, liberty, and the rule of law.

Designing public policy …

The Globalization Of Copyright Exceptions For Ai Training, Matthew Sag, Peter K. Yu

Faculty Scholarship

Generative AI, machine learning and other computational uses of copyrighted works pose profound questions for copyright law. This article conducts of global survey of how different countries have attempted to answer these questions in relation to the unauthorized use of copyrighted works for training. Although the world has yet to achieve international consensus on this issue, an international equilibrium is emerging. Jurisdictions with common law and civil law traditions, and with varying economic conditions, technological capabilities, political systems, and cultural backgrounds, have found ways to reconcile copyright law and AI training. In this equilibrium, countries recognize that text data mining, …

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 …

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 …

Is An Autonomous Vehicle A Roller Coaster Or A Hollywood Film? Trust, Safety, And Industry Self-Regulation, Tracy Hresko Pearl

BYU Law Review

Regulation of autonomous vehicles continues to be a daunting task in the United States, and the federal government has not yet succeeded in creating a regulatory scheme that intelligently addresses the risks and benefits of these vehicles. There are multiple reasons for this regulatory lag. Autonomous vehicles are developing at such a rapid pace that lawmakers, who often struggle with technological literacy, struggle to keep up. Additionally, government agencies lack the level of expertise, experience, and data that the industry possesses.

Industry self-regulation offers a meaningful alternative for increasing the safety of autonomous vehicles and building consumer trust. The success …

“Whoever Invents Or Discovers”: Artificial Intelligence And The Case For Joint Inventorship, Seth F. Littleford

BYU Law Review

Artificial intelligence (AI) is increasingly important in the modern world. Given its fidelity to—and, in some cases, its surpassing of—human performance, people rely upon AI in myriad settings. The AI era is already here, and the technological advancements to come are even more mind-boggling. The United States Patent and Trademark Office (USPTO) has seen a significant increase in patent applications claiming inventions pertaining to AI, but how does the patent system handle when AI invents?

The U.S. Court of Appeals for the Federal Circuit recently held in Thaler v. Vidal that the Patent Act requires inventors listed on patent applications …

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

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 …

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 …

Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang

Northwestern Journal of Technology and Intellectual Property

The advent of ChatGPT has sparked over a year of regulatory frenzy. Policymakers across jurisdictions have embarked on an AI regulatory “arms race,” and worldwide researchers have begun devising a potpourri of regulatory schemes to handle the content risks posed by generative AI products as represented by ChatGPT. However, few existing studies have rigorously questioned the assumption that, if left unregulated, AI chatbot’s output would inflict tangible, severe real harm on human affairs. Most researchers have overlooked the critical possibility that the information market itself can effectively mitigate these risks and, as a result, they tend to use regulatory tools …

Fair Use, Licensing, And Authors' Rights In The Age Of Generative Ai, Celeste Shen

Northwestern Journal of Technology and Intellectual Property

The rise of generative AI technologies has introduced unprecedented challenges to copyright law, particularly around the fair use of copyrighted works in AI training processes. Generative AI tools, such as ChatGPT, are trained on vast datasets that often include copyrighted material, typically without the consent of authors or compensation for use. This widespread, unauthorized use has led to legal disputes, with plaintiffs asserting that using protected texts in training AI models constitutes copyright infringement. This Note examines the application of the fair use doctrine to generative AI, analyzing each of the four statutory factors to demonstrate that generative AI’s commercial …

Generative Artificial Intelligence And Copyright In The Film And Media Industry, Victor A. Oberting Iv

Washington and Lee Law Review Online

The development of generative artificial intelligence (“GAI” or “generative AI”) introduces compelling benefits and capabilities to filmmakers and artists, but also brings complications regarding copyright of creative works. The American film and media industry in particular illustrates the scope of GAI’s legal, economic, and ethical implications. Though GAI may exhibit characteristics of independent agency or intent, GAI models are best understood as a new set of tools that serve a diverse range of applications in the creative process. The potential benefits of this set of tools can only be realized, then, if the filmmakers who use them are not unreasonably …

Gray Advice, Keith Porcaro

Duke Law & Technology Review

Debates over economic protectionism or the technology flavor-of-the-month obscure a simple, urgent truth: people are going online to find help that they cannot get from legal and health professionals. They are being let down, by products with festering trust and quality issues, by regulators slow to apply consumer protection standards to harmful offerings, and by professionals loath to acknowledge changes to how help is delivered. The status quo cannot continue. Waves of capital and code are empowering ever more organizations to build digital products that blur the line between self-help and professional advice. For good or ill, “gray advice” is …

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

Dickinson Law Review (2017-Present)

No abstract provided.

Artificial Fiduciaries, Zhaoyi Li

Washington and Lee Law Review

The rapid development of technology in the last decade has affected all levels of society. Corporate governance has not been immune to these changes. In the future, Artificial Intelligence (“AI”) fiduciaries may be technologically capable of serving as independent corporate directors. This could be an effective way to address the challenge of the absence of truly independent directors in the traditional governance framework. Artificial fiduciaries could also offer a way to mitigate agency costs and improve overall corporate governance. However, traditional corporate law lacks solutions for coping with the integration of AI into corporate governance.

Currently, there is little scholarship …

The Framework Is The Message: Legal And Ethical Implications Of Chatgpt, Amanda Turnbull

Canadian Journal of Law and Technology

The rapid rise of generative AI represents a palpable paradigm shift: models like GPT-3 (and its subsequent iterations), DALL-E, and AlphaCode are becoming foundation models for many other AI-based applications. Foundation models may be used for many different tasks with minimal modification and are positioned to replace task-specific models of AI. This holds tremendous promise in society such as advancing scientific research, rethinking education and training, and creating new types of art and expression. At the same time, however, generative AI has its dark side such as accuracy risk, the threat of large-scale unemployment, potential security vulnerabilities, and AI misbehaviour …

Scla 521 Ai In Society, Bert Chapman

Libraries Faculty and Staff Presentations

Provides access to information resources on societal impacts of artificial intelligence from multiple libraries databases covering multiple disciplines including government information resources.

Ks Pop Celebrating Three Years Of Tech-Driven Justice For All, Ayyoub Ajmi

Faculty Works

This article explores the development and impact of the Kansas Protection Order Portal (KS POP), highlighting the vital role of law librarians in the portal's design and implementation. The article showcases how KS POP has streamlined the legal process for domestic violence, sexual assault, and human trafficking victims in Kansas, marking a significant advancement in accessible legal support and serving as a model for future innovations in the justice system.

"The Law Doesn't Work Like A Computer": Exploring Software Licensing Issues Faced By Legal Practitioners, Nathan Wintersgill, Trevor Stalnaker, Laura A. Heymann, Oscar Chaparro, Denys Poshyvanyk

Faculty Publications

Most modern software products incorporate open source components, which requires compliance with each component’s licenses. As noncompliance can lead to significant repercussions, organizations often seek advice from legal practitioners to maintain license compliance, address licensing issues, and manage the risks of noncompliance. While legal practitioners play a critical role in the process, little is known in the software engineering community about their experiences within the open source license compliance ecosystem. To fill this knowledge gap, a joint team of software engineering and legal researchers designed and conducted a survey with 30 legal practitioners and related occupations and then held 16 …

The Need For An International Ai Research Initiative: How To Create And Sustain A Virtuous Research-Regulation Cycle To Govern Ai, Kevin Frazier

Washington Journal of Law, Technology & Arts

This paper explains the need for an international AI research initiative. The current focus of lawmakers at the subnational, national, and international level on regulation over research has created an imbalance, neglecting the critical role of continuous, informed research in developing laws that keep pace with rapid technological advancements in AI.

The proposed international AI research initiative would serve as a central hub for comprehensive AI risk analysis, modeled on successful precedents like CERN and the IPCC. CERN exemplifies a collaborative research environment with pooled resources from member states, leading to significant advancements in particle physics. Similarly, the IPCC has …

Governing The Metaverse, Jesse Valente

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

The Missing Links: Why Hyperlinks Must Be Treated As Attachments In Electronic Discovery, Lea Malani Bays, Stuart A. Davidson

University of Cincinnati Law Review

This Article sheds light on a unique but centrally important “twenty-first century” issue involving electronic discovery in federal civil litigation that is just beginning to percolate in federal district courts. Historically, courts have held that a document attached to or enclosed with another document must be produced together when produced in response to a discovery request, as that is how the document was “kept in the usual course of business” and how it is “ordinarily maintained or in a reasonably usable form,” as the Federal Rules of Civil Procedure have required for decades. Today, parties are pushing back on whether …

Train Or Restrain? Using International Perspectives To Inform The American Fair Use Analysis Of Copyright In Generative Artificial Intelligence Training, Serena Lightstone

Northwestern Journal of International Law & Business

The rise of generative artificial intelligence (“AI”) has brought questions regarding the permissibility of using copyrighted materials in training generative AI systems around the globe. This article examines whether such use constitutes infringement under the American fair use doctrine, drawing insights from the regulatory approaches of the European Union (EU) and Japan.

Ultimately, this article advocates for United States courts to recognize the permissibility of using copyrighted materials in training generative AI models, rejecting the EU’s rights-holder-centric approach, and going beyond Japan’s limited-permissibility solution. Through a detailed four-factor fair use analysis, this article demonstrates that training generative AI on copyrighted …

Aiming For Fairness: An Exploration Into Getty Images V. Stability Ai And Its Importance In The Landscape Of Modern Copyright Law, Matthew Coulter

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.