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Articles 781 - 810 of 8842
Full-Text Articles in Law
Corner Post V. Board Of Governors Of Federal Reserve System, Alexis Karbowicz
Corner Post V. Board Of Governors Of Federal Reserve System, Alexis Karbowicz
Public Land & Resources Law Review
Corner Post v. Board of Governors of the Federal Reserve System resolved a circuit split on when claims against the federal government “accrue” under 28 U.S.C.A. § 2401(a). The Supreme Court clarified whether plaintiffs must file challenges within six years of a regulation’s enactment or may wait until they are directly affected by an agency action, even if that occurs years later. Examining the case’s factual and procedural background provides insight into the relevant regulatory context. The Court’s analysis offers a detailed interpretation of statutory language and establishes principles of claim accrual, alongside the policy considerations of regulatory finality and …
The Biopiracy Of Traditional Knowledge In United States Patent Law, Hannah Green
The Biopiracy Of Traditional Knowledge In United States Patent Law, Hannah Green
Public Land & Resources Law Review
The United States intellectual property (“IP”) system is deeply intertwined with our country’s history and constitution. t is foundational in favoring young American inventors. George Washington signed the first patent act in 1790 in hopes of promoting the innovation and progress of science and useful arts. Yet, our patent system was also built around the Western tradition of individualism and competition, which failed to recognize the communal nature and traditional knowledge of tribal communities. This disparity allows the biopiracy of traditional knowledge to be lawful. This comment will explore the harmful toll that United States patent law has taken on …
Legal Implications Of Digital Health Apps Informing Food Allergy Labeling For Consumers' Health And Privacy Protection, Kathy Keunghee Kim
Legal Implications Of Digital Health Apps Informing Food Allergy Labeling For Consumers' Health And Privacy Protection, Kathy Keunghee Kim
Maurer Theses and Dissertations
This dissertation examines food allergy labeling’s use in a digital format. Allergy information is typically found on food packaging and containers to help consumers identify individually concerned allergens. Given the critical role that food allergy labels play in preventing unexpected allergic reactions before selecting or consuming food, it is essential to comprehend the labeling descriptions. However, current regulations and laws regarding allergy labeling often confuse consumers due to the existence of mandatory and voluntary Precautionary Allergy Labeling (PAL) categories and the absence of laws and regulations that require allergy information for restaurant meals. Technology companies have introduced digital health and …
Disclose By Law, Obfuscate By Strategy: A Corpus-Based Analysis Of Patent Filings, Katherine Ireland, W. Michael Schuster, Tim R. Samples
Disclose By Law, Obfuscate By Strategy: A Corpus-Based Analysis Of Patent Filings, Katherine Ireland, W. Michael Schuster, Tim R. Samples
BYU Law Review
The patent system encourages dissemination of technical information by granting inventors exclusive rights to their inventions in exchange for public disclosure of their technology. The American Inventors Protection Act (AIPA), enacted in 1999, advanced this goal by increasing the scope and speed of disclosure. Previously, filings were published only if and when a patent was granted, but under the AIPA most applications are published eighteen months after filing. The sum of those changes amplified a fundamental tradeoff between protection and exposure. Although patents offer protection, competitors can exploit disclosures by integrating the innovations into their own research and development efforts. …
Brief Of Law Scholars As Amicus Curiae In Support Of Appellees And Affirmance, Charles Duan
Brief Of Law Scholars As Amicus Curiae In Support Of Appellees And Affirmance, Charles Duan
Amicus Briefs & Court Filings
Amici are law professors and scholars who focus their scholarship and teaching on intellectual property law, property law, regulatory law, and health law.2 They write to address the plaintiff’s, Novo Nordisk Inc., et al. (Novo), overarching contention that the Medicare drug price negotiation program constitutes an unconstitutional price control. Amici submit this brief to provide the Court with the historical and legal background regarding the constitutionality of government price negotiations and price regulations. The amici explain how Courts have historically ruled on these questions, as well as the far-reaching consequences that a ruling in Novo’s favor would have on the …
A New Frontier: The Music Industry’S Struggle Against Generative Ai, Vaughn Gendron
A New Frontier: The Music Industry’S Struggle Against Generative Ai, Vaughn Gendron
University of Miami Business Law Review
Since the modern notion of artificial intelligence emerged in 2014, AI has rapidly developed into a technology with vast generative capabilities. This technology has allowed for the creation of copious amounts of AI-generated media content. One of the most impacted industries by this evolution is the music industry. In April of 2023, an unidentified user produced a viral AI-generated song titled “Heart on My Sleeve” in the vocal likeness of both Drake and The Weeknd. The song’s instant popularity among consumers shattered the music industry’s long-held belief that listeners would always prefer human creativity over artificial creation. This shift in …
Wear Your Heart On Your Sleeve, Whether You Like It Or Not: How Federal Regulation Can Address Advances In Biometric Technology, Greg Marcus
University of Miami Business Law Review
The use of biometric data for identification and authentication has become a common practice for people and businesses across the world. While these technologies offer a promising means of enhanced security, the emergence of artificial intelligence and machine learning has enabled the analysis of biometric data to reveal some of our most intimate personal information from simple physical characteristics. The rapid advancement of this technology has brought the issue of regulation to the forefront of discussions in both Congress and state legislatures. Accordingly, many states have proposed, and in several instances passed legislation specifically regulating the collection of biometric data. …
Impossibility Of Artificial Inventors, Matt Blaszczyk
Impossibility Of Artificial Inventors, Matt Blaszczyk
UC Law Science and Technology Journal
Recently, the United Kingdom Supreme Court decided that only natural persons can be considered inventors. A year before, the United States Court of Appeals for the Federal Circuit issued a similar decision. In fact, so have many of the courts all over the world. This Article analyzes these decisions, argues that the courts got it right, and finds that artificial inventorship is at odds with patent law doctrine, theory, and philosophy. This Article challenges the intellectual property (IP) post-humanists, exposing the analytical and normative perils of their argumentation, and recommends against getting rid of the nominally central place of humans …
Facial Recognition Technology In The Market: What Consumers Need To Know To Protect Their Rights, Liubov Kirzhakova
Facial Recognition Technology In The Market: What Consumers Need To Know To Protect Their Rights, Liubov Kirzhakova
UC Law Science and Technology Journal
Facial recognition technology (FRT) has rapidly expanded in consumer products over the last decade, offering convenience, but raising significant privacy concerns. This article examines the implications of FRT on consumer privacy, emphasizing the unique risks associated with biometric data. Unlike other personal data, biometrics are biologically unique and irreplaceable, making unauthorized access and misuse particularly harmful. Despite the growing consumer awareness and concern about data privacy, current legal protections are fragmented and insufficient. This article provides a comprehensive analysis of how FRT is integrated into products and services and highlights the privacy risks associated with each. It reviews existing federal …
Re(De)Fining Patent Eligibility, Lauren Hong
Re(De)Fining Patent Eligibility, Lauren Hong
UC Law Science and Technology Journal
The patent system is at the heart of America’s innovation scene, serving as the lifeline for America’s status as an industrial titan as it seeks to inspire inventors worldwide to innovate and discover. The confines of patent-eligible subject matter were set out by Congress through the power vested by the Constitution, and these boundaries have been re(de)fined as the Supreme Court has carved out exceptions to these standards including: laws of nature, abstract ideas, and natural phenomena being excluded from patentability. In response to criticisms of legal uncertainty surrounding patent-eligibility under the current regime, two senators have introduced The Patent …
Protection Of Nuclear Facilities In Warfare Under International Law, Gary Corn, Sean Watts
Protection Of Nuclear Facilities In Warfare Under International Law, Gary Corn, Sean Watts
Joint PIJIP/TLS Research Paper Series
No abstract provided.
The Privacy Act Of 1974: The American Bill Of Rights On Data And Its Unfinished Business, Dongsheng Zang
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 …
Disability Discrimination By Clinical Algorithm, Elizabeth Pendo, Jennifer D. Oliva
Disability Discrimination By Clinical Algorithm, Elizabeth Pendo, Jennifer D. Oliva
Articles
In response to America’s escalating drug poisoning crisis, the federal government has funded, incentivized, and mandated that states adopt and implement prescription drug monitoring programs (“PDMPs”) to electronically surveil controlled substances and other “drugs of concern.” State PDMPs utilize proprietary, predictive software platforms that deploy algorithms to determine whether a patient is at risk for drug misuse, drug diversion, doctor shopping, or substance use disorder. PDMPs have never been validated by a federal agency or peer review, yet states have mandated their use throughout the health care delivery system.
Research demonstrates that clinical overreliance on the risk scores generated by …
Data Scraping For Generative Ai—To What Extent?, Jae Yeon Cecilia Kim
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
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 …
Ai Fanfare & Fanfiction: Do Fanfiction Writers Have Protections Against Artificial Intelligence?, Sinbay Tan
Ai Fanfare & Fanfiction: Do Fanfiction Writers Have Protections Against Artificial Intelligence?, Sinbay Tan
Brooklyn Law Review
As artificial intelligence (AI) becomes a familiar topic in everyday conversation and now increasingly in courts, there is a conflict between its use in creative and artistic spaces. While authors and artists enjoy copyright protections that might shield their works from being misused, there are millions of fanfiction writers who have no such protections. After all, the essence of fanfiction is rooted in writing about the characters, settings, and stories made by someone else. After decades of writing online, these fanfiction authors face the threat of having their works scraped up and fed into AI algorithms to be used in …
Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang
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 …
Between Copyright And Computer Science: The Law And Ethics Of Generative Ai, Devin R. Desai, Mark Riedl
Between Copyright And Computer Science: The Law And Ethics Of Generative Ai, Devin R. Desai, Mark Riedl
Northwestern Journal of Technology and Intellectual Property
Copyright and computer science continue to intersect and clash, but they can coexist. The advent of new technologies such as digitization of visual and aural creations, sharing technologies, search engines, social media offerings, and more, challenge copyright-based industries and reopen questions about the reach of copyright law. Breakthroughs in artificial intelligence research, especially Large Language Models that leverage copyrighted material as part of training, are the latest examples of the ongoing tension between copyright and computer science. The exuberance, rush-to-market, and edge problem cases created by a few misguided companies now raises challenges to core legal doctrines and may shift …
Fair Use, Licensing, And Authors' Rights In The Age Of Generative Ai, Celeste Shen
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 …
Attributing Ai Authorship: Towards A System Of Icons For Legal And Ethical Disclosure, Joseph J. Avery, Patricia Sánchez Abril, Alissa Del Riego
Attributing Ai Authorship: Towards A System Of Icons For Legal And Ethical Disclosure, Joseph J. Avery, Patricia Sánchez Abril, Alissa Del Riego
Northwestern Journal of Technology and Intellectual Property
Over the past year, the pervasive role of large language models (LLMs) and artificial intelligence (AI) in text generation has precipitated concerns about ethical usage, authorship, and transparent attribution. This has been true in legal practice, academia, and the corporate world, as well as in countless other arenas. In this Article, we identify the gap that has opened between those demanding proper disclosure (we should know when and to what extent AI is an author) and those struggling to respond to these demands. Part of the problem is that there is no system in place, no lingua franca, no set …
Something Is Rotten In The State Of Healthcare: Accountability, Affordability, And The Court Of Public Opinion, Isabelle Breier
Something Is Rotten In The State Of Healthcare: Accountability, Affordability, And The Court Of Public Opinion, Isabelle Breier
Duke Law & Technology Review
Many countries worldwide recognize a right to health and provide legal recourse for securing that right. By contrast, for many Americans, there is no legal right or remedy that enables them to access healthcare if they cannot afford it. While there are some statutes and measures in place, such as the Emergency Medical Treatment and Active Labor Act (EMTALA) and Medicaid, coverage remains piecemeal and access to healthcare is not guaranteed. Conditioning people’s access to healthcare upon their ability to pay violates the foundational bioethical principle of justice. In the United States, individuals and advocates use social media to fill …
Gatekeeper Competition Policy, Herbert Hovenkamp
Gatekeeper Competition Policy, Herbert Hovenkamp
Michigan Technology Law Review
Antitrust policy in the United States has always had special rules for dominant firms. As Justice Scalia once observed:
Where a defendant maintains substantial market power, his activities are examined through a special lens: Behavior that might otherwise not be of concern to the antitrust laws—or that might even be viewed as procompetitive—can take on exclusionary connotations when practiced by a monopolist.
Frand Arbitration Will Destroy Frand, Barbara Lauriat
Frand Arbitration Will Destroy Frand, Barbara Lauriat
Michigan Technology Law Review
Standard essential patent-licensing disputes have been raising the costs of business in the telecommunications industry for over a decade. As technology and interconnectivity extend beyond mobile phones into the Internet of Things (“IoT”), the number of these disputes will only increase. While many academics, policymakers, and stakeholders support arbitration to resolve these disputes, this article warns of the potential long-term consequences of doing so on a large scale.
Standard Setting Organizations usually require the owners of patented technology included in industry standards to commit to licensing on Fair, Reasonable, and Non-discriminatory (“FRAND”) terms to avoid potential abuse of their market …
The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell
The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell
Michigan Technology Law Review
In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built in isolation from policymaking and civil societal contexts and lack serious engagement with philosophical, political, legal, and economic theories of equality and distributive justice. Many current measures define “fairness” in simple terms to mean narrowing gaps in performance or outcomes between demographic groups while preserving as much of the original system’s accuracy as possible. This oversimplified …
The Implications Of Chatgpt For Legal Services And Society, Andrew Perlman
The Implications Of Chatgpt For Legal Services And Society, Andrew Perlman
Michigan Technology Law Review
On November 30, 2022, OpenAI released a chatbot called ChatGPT.1 To demonstrate the chatbot’s sophistication and its potential implications, both for legal services and society more generally, most of this paper was generated in about an hour through prompts within ChatGPT. Only this abstract, the preface, the outline headers, the footnotes, the epilogue, and the prompts were written by a person. ChatGPT generated the rest of the text with no human editing. To be clear, the responses generated by ChatGPT were imperfect and at times problematic, and the use of an AI tool for law-related services raises a host of …
Generative Artificial Intelligence And Copyright In The Film And Media Industry, Victor A. Oberting Iv
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
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 …
Tort Liability, Privacy, And Regulatory Considerations For Level 3 Autonomous Vehicles, Ryan H. Jones
Tort Liability, Privacy, And Regulatory Considerations For Level 3 Autonomous Vehicles, Ryan H. Jones
Michigan Technology Law Review
Recent developments in emerging technology, such as artificial intelligence, robotics, and autonomous vehicles, have generated inquiries about the incorporation of these technologies into the law, as well as the philosophical and ethical questions that accompany their use. This paper considers existing legal doctrine and regulatory frameworks as applied to the niche area of Level 3 autonomous vehicles. Specifically, this paper considers tort liability in the form of negligence and products liability, privacy risks, and regulatory considerations in relation to Level 3 vehicles. Finally, societal risks and potential solutions are considered to provide insight into potential areas of additional work.
From Biased Data Inputs To Your Discriminatory Diagnosis Outputs: A Review Of Legal Liability For Artificial Intelligence In Healthcare, Amber Bolden
Michigan Technology Law Review
While health disparities in America occur due to non-medical circumstances, certain protected classes experience healthcare disparities due to the biases of medical professionals. Biased diagnoses, both intentional or unintentional, have existed throughout the history of the medical profession. That those biases are becoming data for training algorithms raises concerns as the medical field increasingly incorporates and standardizes artificial and augmented intelligence in patient diagnosis and treatment. Currently unregulated but with lifedetermining potential, artificial intelligence (AI) when used in patient treatment leads to important questions: should the doctor, the provider, or the AI developers be liable, and for what? Section II …