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Articles 1 - 30 of 53
Full-Text Articles in Law
Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites
Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites
University of Miami Law Review
Like many courts across the country in 2023, courts in the Eleventh Circuit were met with novel claims challenging ChatGPT and other artificial intelligence tools. These cases raise common questions: How should courts treat the speech of machines? When a machine generates allegedly defamatory material, who is the speaker—mortal or machine? When a machine generates expressive creations, who is the artist, and does that shape copyright eligibility? When a machine makes assertions about reality through lab analyses and other forensic reports, who is the accuser, and how does the answer impact a defendant’s rights at trial? Should those answers stem …
Why Outlaw Laws?: An Argument For A Probationary Period For Lethal Autonomous Weapons Systems Under Meaningful Human Control., Katherine E. Vuyk
Why Outlaw Laws?: An Argument For A Probationary Period For Lethal Autonomous Weapons Systems Under Meaningful Human Control., Katherine E. Vuyk
The University of Cincinnati Intellectual Property and Computer Law Journal
No abstract provided.
Robots As Pirates, Henry H. Perritt Jr.
Robots As Pirates, Henry H. Perritt Jr.
Catholic University Law Review
Generative AI has created much excitement over its potential to create new works of authorship in the literary and graphical realms. Its underling machine-learning technology works by analyzing the relations among elements of preexisting material in enormous databases assembled from publicly available and licensed sources. Its algorithms “learn” to predict “what comes next” in different types of expression. A complete system thus can become glib in creating new factual summaries, essays, fictional stories and images.
A number of authors of the raw material used by Generative AI engines claim that the machine learning process infringes their copyrights. Careful evaluation of …
The Copyright Requirement Of Human Authorship For Works Containing Artificial Intelligence-Generated Content, Runhua Wang
The Copyright Requirement Of Human Authorship For Works Containing Artificial Intelligence-Generated Content, Runhua Wang
IP Theory
The U.S. Copyright Office (the “Office”) unwaveringly refuses to register copyrights for artworks created by artificial intelligence (“AI”) systems. The prima facie reason is a lack of authorship because the U.S. copyright regime recognizes only humans as authors. However, the fundamental reason lies in the fact that legislators have not yet determined whether to grant copyrights to AI users. Despite adjustments made by the Office in response to the use of AI systems in creation, the agency’s implementation of copyright statutes suggests that it remains extremely conservative, rejecting any AI-generated content (“AIGC”) from copyright registration.
Will the copyright regime continue …
Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin
Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin
Seattle University Law Review
Artificial intelligence (AI) and other new technologies are increasingly influencing the operations, business models, and structures of companies. This Article focuses on three emerging phenomena that impact significant aspects of corporate governance and regulation: (1) perforation and blurring of firm boundaries through the ubiquitous use of externally provided AI services; (2) businesses engaging in strategic access and leveraging of critical resources held by third parties without owning them; and (3) the unusual hybrid role of online platforms between market facilitators and markets themselves. The Article explores how these phenomena challenge traditional views of firms as separate units, with technology leading …
Framing Online Speech Governance As An Algorithmic Accountability Issue, Mehtab Khan
Framing Online Speech Governance As An Algorithmic Accountability Issue, Mehtab Khan
Indiana Law Journal
Automated tools used in online speech governance are prone to errors on a large-scale yet widely used. Legal and policy responses have largely focused on case-by-case evaluations of these errors, instead of an examination of the development process of the tools. Moreover, information on the internet is no longer simply generated by users, but also by sophisticated language tools like ChatGPT, that are going to pose a challenge to speech governance. Yet, legal and policy measures have not responded adequately to AI tools becoming more dynamic and impactful. In order to address the challenges posed by algorithmic content governance, I …
Marine Protected And Conserved Areas: Beneficial Uses Of Artificial Intelligence, Kyla Lucey
Marine Protected And Conserved Areas: Beneficial Uses Of Artificial Intelligence, Kyla Lucey
Catholic University Journal of Law and Technology
The ocean is an invaluable tool to the survival of humankind and “produces half of the world’s oxygen, absorbs and sequesters one third of the carbon dioxide human activities emit, provides protection from extreme weather events, and provides a source of food and livelihoods.” Without it, communities would suffer, animals would die off, industries would disappear, and the world would be much worse off. The recommendations made here reflect the growing concern the world has adopted regarding the climate crisis. This concern is warranted as many animals have already disappeared, plants are dwindling, and the once wild areas of the …
The Future Of Art And Copyright In The World Of Ai, Danna Subia Espinoza
The Future Of Art And Copyright In The World Of Ai, Danna Subia Espinoza
Catholic University Journal of Law and Technology
This paper focuses on the interpretive framework embodied in copyright law and its application to art-producing technologies, how this framework has been applied to new technologies in the past, and the issues surrounding the adaption of these old frameworks to the modern concern of AI-created art. The paper also considers how the application of copyright law to modern AI issues reflects the law’s capability, or inability, to evolve and address novel situations, specifically in relation to AI-based technology. Further, it examines what, if any, steps should be taken to promote courts maintaining a firm grip on copyright protections. The issues …
Code And Prejudice: Regulating Discriminatory Algorithms, Bernadette M. Coyle
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
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 …
Trademarks In An Algorithmic World, Christine Haight Farley
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
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 …
Fair’S Fair: How Public Benefit Considerations In The Fair Use Doctrine Can Patch Bias In Artificial Intelligence Systems, Patrick K. Lin
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
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
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
Aclu V. Clearview Ai, Inc.,, Isra Ahmed
DePaul Journal of Art, Technology & Intellectual Property Law
No abstract provided.
The Perks Of Being Human, Max Stul Oppenheimer
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
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
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
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
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
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
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 …
Vicarious Liability For Ai, Mihailis E. Diamantis
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, …
Judicial Deference To Agency Action Based On Ai, Cade Mallett
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.
Deepfake Fight: Ai-Powered Disinformation And Perfidy Under The Geneva Conventions, David Nicholas Allen
Deepfake Fight: Ai-Powered Disinformation And Perfidy Under The Geneva Conventions, David Nicholas Allen
Notre Dame Journal on Emerging Technologies
Deception and disinformation are as much a part of the battlefield as bullets and bombs. However, just like with bullets and bombs, if the law does not properly regulate a capability’s use the capability could degrade faith in the law. In this respect, this paper examines deepfake technology, a modern artificial intelligence-based capability that can generate superficially-perfect yet wholly invented media content. The paper looks ahead to its potential future applications in armed conflict, processes the ways in which current law contemplates such deception, and distills recommendations for improving governance where needed.
In Defense Of (Virtuous) Autonomous Weapons, Don Howard
In Defense Of (Virtuous) Autonomous Weapons, Don Howard
Notre Dame Journal on Emerging Technologies
I will argue, we can construct effective means for norming the use of autonomous weapons short of a total ban by building upon the foundation of existing requirements stipulated in Article 36 of Protocol I to the Geneva Conventions that all new weapons technologies be reviewed for compliance with the International Law of Armed Conflict (ILOAC) and International Humanitarian Law (IHL). I begin with a critical review of several of the most commonly encountered arguments in favor of a ban. That is followed by a discussion of the moral opportunities afforded by enhanced autonomy. I conclude with a concrete policy …
Ethical Ai In American Policing, Elizabeth E. Joh
Ethical Ai In American Policing, Elizabeth E. Joh
Notre Dame Journal on Emerging Technologies
We know there are problems in the use of artificial intelligence in policing, but we don’t quite know what to do about them. One can also find many reports and white papers today offering principles for the responsible use of AI systems by the government, civil society organizations, and the private sector. Yet, largely missing from the current debate in the United States is a shared framework for thinking about the ethical and responsible use of AI that is specific to policing. There are many AI policy guidance documents now, but their value to the police is limited. Simply repeating …
Note: Regulating Artificial Intelligence: A Call For A United States Artificial Intelligence Agency, Noah John Kahekili Rosenberg
Note: Regulating Artificial Intelligence: A Call For A United States Artificial Intelligence Agency, Noah John Kahekili Rosenberg
Notre Dame Journal on Emerging Technologies
this Note draws upon two examples of emerging AI technologies that demonstrate the need for federal regulation: autonomous vehicles (i.e., self-driving cars) and algorithm-based hiring software. Part I illustrates the public safety concerns associated with AI technologies by outlining the inadequacy of existing laws and regulations on autonomous vehicles. Part II addresses the shortcomings of current regulations on algorithm-based hiring software and the issue of discrimination and inherent bias in AI. Part III recommends the creation of a new federal agency to guide AI regulation and enforcement.