Law Commons^™

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

Code And Prejudice: Regulating Discriminatory Algorithms, Bernadette M. Coyle

Washington and Lee Law Review Online

In an era dominated by efficiency-driven technology, algorithms have seamlessly integrated into every facet of daily life, wielding significant influence over decisions that impact individuals and society at large. Algorithms are deliberately portrayed as impartial and automated in order to maintain their legitimacy. However, this illusion crumbles under scrutiny, revealing the inherent biases and discriminatory tendencies embedded in ostensibly unbiased algorithms. This Note delves into the pervasive issues of discriminatory algorithms, focusing on three key areas of life opportunities: housing, employment, and voting rights. This Note systematically addresses the multifaceted issues arising from discriminatory algorithms, showcasing real-world instances of algorithmic …

Artificial Intelligence And Transformative Use After Warhol, Gary Myers

Washington and Lee Law Review Online

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of …

The Present And Future Of Ai Usage In The Banking And Financial Decision-Making Processes Within The Developing Indian Economy, Dr. Shouvik Kumar Guha, Bash Savage-Mansary, Dr. Navyajyoti Samanta

Indian Journal of Law and Technology

In course of this paper, the authors have soght to examine the extent to which technology based on artificial intelligence (AI) have made inroads into the banking and financial sectors of a developing economy like India. The paper begins with providing a contextual background to the adoption of such technology in the global financial arena. It then proceeds to identify and categorise the forms of AI currently being used in the Indian financial sector and also considers the different channels of operation where such technology is in vogue. The advantages of using such technology and the future goals for integrating …

Trademarks In An Algorithmic World, Christine Haight Farley

Washington Law Review

According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their …

The Ideal Approach To Artificial Intelligence Legislation: A Combination Of The United States And European Union, Dane Chapman

University of Miami Law Review

The evolution of Artificial Intelligence (“A.I.”) from a speculative concept depicted in science fiction to its integration into various aspects of everyday life has brought about complex challenges for contemporary legislators. The proliferation of A.I. technology has led to a growing recognition of the need for regulation, as it poses both promises and threats to society. On the one hand, A.I. has the potential to enhance efficiency in various fields, such as medicine and automation of routine tasks. On the other hand, if left unregulated, A.I. has the potential to undermine democratic principles and infringe upon fundamental rights. Thus, legislators …

Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson

Dickinson Law Review (2017-Present)

In this Essay, we analyze the arguments in favor of, and against, viewing the use of copyrighted works in training sets for AI as fair use. We call this form of fair use “fair training.” We identify both strong and spurious arguments on both sides of this debate. In addition, we attempt to take a broader perspective, weighing the societal costs (e.g., replacement of certain forms of human employment) and benefits (e.g., the possibility of novel AI-based approaches to global issues such as environmental disruption) of allowing AI to make easy use of copyrighted works as training sets to facilitate …

All Along The New Watchtower: Artificial Intelligence, Workplace Monitoring, Automation, And The National Labor Relations Act, Bradford J. Kelley

Marquette Law Review

Recent technological advances have dramatically expanded employers’ ability to electronically monitor and manage employees within the workplace. New technologies, including tools powered by artificial intelligence, are being used in the workplace for a wide range of purposes such as measuring employee work rates, preventing theft, and monitoring drivers with GPS tracking devices. These technologies offer potential solutions for many companies that may increase efficiencies and support operations, dramatically reduce human bias, prevent discrimination and harassment, and improve worker health and safety. Despite these potential benefits, the use of these technologies may raise concerns under the National Labor Relations Act (NLRA), …

Fair’S Fair: How Public Benefit Considerations In The Fair Use Doctrine Can Patch Bias In Artificial Intelligence Systems, Patrick K. Lin

Indiana Journal of Law and Social Equality

The impact of artificial intelligence (AI) expands relentlessly despite well documented examples of bias in AI systems, from facial recognition failing to differentiate between darker-skinned faces to hiring tools discriminating against female candidates. These biases can be introduced to AI systems in a variety of ways; however, a major source of bias is found in training datasets, the collection of images, text, audio, or information used to build and train AI systems. This Article first grapples with the pressure copyright law exerts on AI developers and researchers to use biased training data to build algorithms, focusing on the potential risk …

Toward An Enhanced Level Of Corporate Governance: Tech Committees As A Game Changer For The Board Of Directors, Maria Lillà Montagnani, Maria Lucia Passador

The Journal of Business, Entrepreneurship & the Law

Although tech committees are increasingly being included in the functioning of the board of directors, a gap exists in the current literature on board committees, as it tends to focus on traditional board committees, such as nominating, auditing or remuneration ones. Therefore, this article performs an empirical analysis of tech committees adopted by North American and European listed companies in 2019 in terms of their composition, characteristics and functions. The aim of the study is to understand what “technology” really stands for in the “tech committees” label within the board, or – to phrase it differently – to ascertain what …

Thaler V. Vidal, 43 F.4th 1207 (Fed. Cir. 2022), Matthew Messina

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

Aclu V. Clearview Ai, Inc.,, Isra Ahmed

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

The Human Role In Artificial Intelligence, Christopher J. Smiley Dds

The Journal of the Michigan Dental Association

The success of AI requires human involvement to ensure that it is used safely and effectively. Transparency, collaboration, and standardization are necessary.

The Perks Of Being Human, Max Stul Oppenheimer

Washington and Lee Law Review Online

The power of artificial intelligence has recently entered the public consciousness, prompting debates over numerous legal issues raised by use of the tool. Among the questions that need to be resolved is whether to grant intellectual property rights to copyrightable works or patentable inventions created by a machine, where there is no human intervention sufficient to grant those rights to the human. Both the U. S. Copyright Office and the U. S. Patent and Trademark Office have taken the position that in cases where there is no human author or inventor, there is no right to copyright or patent protection. …

Note: Artistic Relevance In Artificial Intelligence? “Roger” That!, Kelly Heilman

Notre Dame Journal on Emerging Technologies

In an era of technological revolution, artificial intelligence is shocking the legal field with its increasing popularity, power, and potential. The limits of property, personhood, and creativity are in question by both the public and the courts, leaving significant ambiguities in the law. Legal standards regarding the regulation of advanced technologies have raised unique and critical substantive questions for intellectual property rights, particularly that of trademarks, where the traditional purpose is source identification between consumers and goods.

Since the 1989 holding in Rogers v. Grimaldi, the use of trademarks for creative purposes, as a matter of First Amendment jurisprudence, …

The Evidentiary Implications Of Interpreting Black-Box Algorithms, Varun Bhatnagar

Northwestern Journal of Technology and Intellectual Property

Biased black-box algorithms have drawn increasing levels of scrutiny from the public. This is especially true for those black-box algorithms with the potential to negatively affect protected or vulnerable populations.1 One type of these black-box algorithms, a neural network, is both opaque and capable of high accuracy. However, neural networks do not provide insights into the relative importance, underlying relationships, structures of the predictors or covariates with the modelled outcomes.2 There are methods to combat a neural network’s lack of transparency: globally or locally interpretable post-hoc explanatory models.3 However, the threat of such measures usually does not bar an actor …

Exams In The Time Of Chatgpt, Margaret Ryznar

Washington and Lee Law Review Online

Invaluable guidance has emerged regarding online teaching in recent years, but less so concerning online and take-home final exams. This article offers various methods to administer such exams while maintaining their integrity—after asking artificial intelligence writing tool ChatGPT for its views on the matter. The sophisticated response of the chatbot, which students can use in their written work, only raises the stakes of figuring out how to administer exams fairly.

Copyright Throughout A Creative Ai Pipeline, Sancho Mccann

Canadian Journal of Law and Technology

Consider the following fact pattern.

Alex paints some original works on canvas and posts photos of them online. Becca downloads those images and uses them to train an AI (training configures the AI’s model parameters to useful values). Becca posts the resulting trained parameter values on her website under a license that reserves to Becca the right to use the parameters commercially. Cory uses those parameter values in a program that is designed to produce artwork. Cory clicks create and the program produces a work. This work is new to Cory, but it looks a lot like one of Alex’s …

Letter Form The Editor, Wayne Rash, Iii

American University National Security Law Brief

In our last issue of The National Security Law Brief, Vol. 13, No. 1, we highlighted the dynamism that makes National Security Law such an exciting field. In this issue, No. 2, we continue with the dynamism theme. National security law is a field in constant change that often leaves us questioning how these changes will shape the law.

The Need For An Australian Regulatory Code For The Use Of Artificial Intelligence (Ai) In Military Application, Sascha-Dominik Dov Bachmann, Richard V. Grant

American University National Security Law Brief

Artificial Intelligence (AI) is enabling rapid technological innovation and is ever more pervasive, in a global technological eco-system lacking suitable governance and absence of regulation over AI-enabled technologies. Australia is committed to being a global leader in trusted secure and responsible AI and has escalated the development of its own sovereign AI capabilities. Military and Defence organisations have similarly embraced AI, harnessing advantages for applications supporting battlefield autonomy, intelligence analysis, capability planning, operations, training, and autonomous weapons systems. While no regulation exists covering AI-enabled military systems and autonomous weapons, these platforms must comply with International Humanitarian Law, the Law of …

Judicial Deference To Agency Action Based On Ai, Cade Mallett

Catholic University Journal of Law and Technology

No abstract provided.

The Tiktok Algorithm Is Good, But Is It Too Good? Exploring The Responsibility Of Artificial Intelligence Systems Reinforcing Harmful Ideas On Users, Julianne Gabor

Catholic University Journal of Law and Technology

No abstract provided.

Vicarious Liability For Ai, Mihailis E. Diamantis

Indiana Law Journal

When an algorithm harms someone—say by discriminating against her, exposing her personal data, or buying her stock using inside information—who should pay? If that harm is criminal, who deserves punishment? In ordinary cases, when A harms B, the first step in the liability analysis turns on what sort of thing A is. If A is a natural phenomenon, like a typhoon or mudslide, B pays, and no one is punished. If A is a person, then A might be liable for damages and sanction. The trouble with algorithms is that neither paradigm fits. Algorithms are trainable artifacts with “off” switches, …