Law Commons^™

Wipo General Assembly 65th: Issues Affecting The Right To Research, Sean Flynn, Andres Izquierdo

Joint PIJIP/TLS Research Paper Series

This paper provides background and options for countries to consider in relation to items on the agenda of the 65th meeting of the WIPO General Assembly. It is prepared by the Project on Copyright the Right to Research of the Program on Information Justice and Intellectual Property, which includes the goal of sharing information and technical assistance to governments in international policy deliberations that impact the rights of scientific researchers in the digital context. The work of the WIPO General Assembly Agenda includes several matters that impact the rights of researchers. These include review of the work and recommendations of …

The Sufficiency Of Disclosure Of Ai Inventions, Mateo Aboy, Aparajita Lath, Timo Minssen, Kathleen Liddell

Articles

• The complex and data-driven nature of artificial intelligence (AI) raises questions for the sufficient disclosure of patent applications in this field. What are the European patent disclosure requirements for AI inventions?

• One challenge is that, prior to training, AI systems can be considered generic models. But after training, they transform into specialized AI systems to solve a particular problem. This transformation requires training data, making it an integral part of the AI system’s definition. But to what extent is the disclosure of the training data or training process necessary for patent disclosure?

• The Boards of Appeal of the European Patent …

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Authorship In The Age Of Algorithms: Adapting Copyright Law For Ai-Generated Content, Sydney Thomas

Journal of Nonprofit Innovation

In the age of Artificial Intelligence (AI), the relationship between technological advancement and legal protection for human creators has become increasingly critical. From Stephen Hawking's admonition of the potential risks of unregulated AI to Sam Altman's advocacy for proactive regulation, this paper navigates the evolving landscape of AI innovation and copyright law. By examining the challenges posed by AI-generated content, including issues of intellectual property infringement and privacy concerns, it highlights the need for adaptive legal frameworks. Strategic enhancements to copyright law must be developed, such as bolstering fair use doctrine and expanding creator rights, to ensure the protection of …

Briefing Note: 45th Meeting Of The Wipo Standing Committee On Copyright And Related Rights, Sean Flynn

Joint PIJIP/TLS Research Paper Series

This analysis provides a historical and legal overview of the principle agenda items to be discussed at the 45th meeting of the Standing Committee on Copyright and Related Rights.

Coded Social Control: China’S Normalization Of Biometric Surveillance In The Post Covid-19 Era, Michelle Miao

Washington Journal of Law, Technology & Arts

This article investigates the longevity of health QR codes, a digital instrument of pandemic surveillance, in post-COVID China. From 2020 to 2022, China widely used this tri-color tool to combat the COVID-19 pandemic. A commonly held assumption is that health QR codes have become obsolete in post-pandemic China. This study challenges such an assumption. It reveals their persistence and integration - through mobile apps and online platforms - beyond the COVID-19 public health emergency. A prolonged, expanded and normalized use of tools which were originally intended for contact tracing and pandemic surveillance raises critical legal and ethical concerns. Moreover, their …

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-Ip? Copyright In An Age Of Internet Propaganda With Artificial Intelligence, Sonya Saepoff

Cybaris®

No abstract provided.

Fair Use In The Us Redux: Reformed Or Still Deformed?, Jane C. Ginsburg

Faculty Scholarship

In 2019, Professor Ginsburg delivered the Distinguished Visitor in Intellectual Property Lecture at the Faculty of Law, National University of Singapore. Titled “Fair Use in the US: Transformed, Reformed, Deformed?”, the lecture explored US caselaw applying the statutory fair use exception, highlighting its excesses and apparent rebalancing. Four and half years (and a pandemic) later, the Supreme Court has rendered decisions in two fair use cases (Google v Oracle; Andy Warhol Foundation v Goldsmith). Together, these controversies prompt inquiry whether the Supreme Court has redrawn the landscape of US fair use and copyright law, expanding fair use …

The Author-Ity Of Ai: Navigating The Legal Landscape Of Artificial Intelligence Authorship, John R. Sepúlveda

Touro Law Review

This Article discusses the problems that arise when trying to protect works that involve generative AI. It will detail how authorship currently is interpreted under U.S. law and how the courts and the U.S. Copyright Office interpret the authorship requirement. This Article will also present some practical tips on how to navigate current U.S. law and obtain a copyright registration.

Tools Do Not Create: Human Authorship In The Use Of Generative Artificial Intelligence, Michael D. Murray

Journal of Law, Technology, & the Internet

Artistic tools, from brushes to complex algorithms, don’t create art; human artists do. The advent of generative AI tools like Midjourney, DALL-E, and Stable Diffusion has blurred this understanding, causing observers to believe these tools are the authors of the artworks they produce, even so far as to imagine that the artworks are “created” by the AI in the copyright sense of the word. Not so.

The U.S. Copyright Office recently issued guidance on the copyrightability of works produced using generative AI tools. The Office has accepted the narrative that AI tools perform the steps of authorship, conceiving of the …

Ai, Artists, And Anti-Moral Rights, Derek E. Bambauer, Robert W. Woods

UF Law Faculty Publications

Generative artificial intelligence (AI) tools are increasingly used to imitate the distinctive characteristics of famous artists, such as their voice, likeness, and style. In response, legislators have introduced bills in Congress that would confer moral rights protections, such as control over attribution and integrity, upon artists. This Essay argues such measures are almost certain to fail because of deep-seated, pervasive hostility to moral rights measures in U.S. intellectual property law. It analyses both legislative measures and judicial decisions that roll back moral rights, and explores how copyright’s authorship doctrines manifest a latent hostility to these entitlements. The Essay concludes with …

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 …

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. …

The Ai Quid Pro Quo Problem: Suggesting A Framework For Patents Involving Artificial Intelligence-Assisted Or -Created Inventions, Daniel Wicklund

William & Mary Business Law Review

Innovation involving artificial intelligence (AI) is rapidly expanding and diffusing into other areas of technology. Additionally, inventors have been using AI to assist in new technology for quite a while and have likely received patents from the United States Patent and Trademark Office (USPTO or “Office”) for their inventions without disclosing the AI involved in the patentable subject matter. As AI has become increasingly present in the implementation of new technology, the question of whether an AI can be an inventor has arisen. In Thaler v. Iancu and on appeal, the courts have affirmatively said no. However, this decision implicates …

A Compulsory Solution To The Machine Problem: Recognizing Artificial Intelligence As Inventors In Patent Law, Cole G. Merritt

Vanderbilt Journal of Entertainment & Technology Law

Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.

To embrace the development and power of AI, Congress …

Generative Artificial Intelligence And Copyright Law, Christopher T. Zirpoli

Copyright, Fair Use, Scholarly Communication, etc.

Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other …

Regulating Uncertain States: A Risk-Based Policy Agenda For Quantum Technologies, Tina Dekker, Florian Martin-Bariteau

Canadian Journal of Law and Technology

Many countries are taking a national approach to developing quantum strategies with a strong focus on innovation. However, societal, ethical, legal, and policy considerations should not be an afterthought that is pushed aside by the drive for innovation. A responsible, global approach to quantum technologies that considers the legal, ethical, and societal dimensions of quantum technologies is necessary to avoid exacerbating existing global inequalities. Quantum technologies are expected to disrupt other transformative technologies whose legal landscape is still under development (e.g., artificial intelligence [‘‘AI”], blockchain, etc.). The shortcomings of global policies regarding AI and the digital context teach lessons that …

Recognizing Operators’ Duties To Properly Select And Supervise Ai Agents – A (Better?) Tool For Algorithmic Accountability, Richard Zuroff

Canadian Journal of Law and Technology

In November of 2020, the Privacy Commissioner of Canada proposed creating GDPR-inspired rights for decision subjects and allowing financial penalties for violations of those rights. Shortly afterward, the proposal to create a right to an explanation for algorithmic decisions was incorporated into Bill C-11, the Digital Charter Implementation Act. This commentary proposes that creating duties for operators to properly select and supervise artificial agents would be a complementary, and potentially more effective, accountability mechanism than creating a right to an explanation. These duties would be a natural extension of employers’ duties to properly select and retain human employees. Allowing victims …

100 Years Of International Ip - Reflections On Past, Present And Future, Frederick M. Abbott

Scholarly Publications

We have been asked to reflect on the past 100 years of international intellectual property law and to try to project forward about what changes might be necessary or desirable in the future. Only a science fiction writer would purport to have some idea about what things might look like a hundred years in the future, including from the standpoint of international intellectual property, so my remarks on that will be somewhat more proximate to the present.

Copyrighting Brain Computer Interface: Where Neuroengineering Meets Intellectual Property Law, Favio Ramirez Caminatti

Cybaris®

No abstract provided.

The Rise Of Machines: Patenting Inventions Generated By Artificial Intelligence In Canada, Morris Odeh

LLM Theses

“The rise of machines is here,” but they did not come as “rogue robots” to terminate humankind as some fictional writers predicted. Rather, they have come as inventors of human-like creativity. Therefore, this thesis examines the question of the patentability of inventions generated by artificial intelligence (AI) machines within the context of the Canadian patent system. Applying the modern principle of statutory interpretation, utilitarianism, and economic theoretical framework, this research determines whether AI-generated inventions can constitute patentable subject matter, AI systems can be inventors, and AI technology can own and exercise patent rights under the Canadian Patent Act. The thesis …

Where Is The Author: The Copyright Protection For Ai-Generated Works, Chieh Huang

Maurer Theses and Dissertations

The two groups of the human-or-machine questions, whether AI-generated works are copyrightable and whether AI-generated works have human authors, are revisiting the current copyright law with the emergence of AI-generated works. These revisiting questions reveal that the current authorship requirement fails to provide a clear and operable standard on evaluating a human contributor’s intellectual labor for creative output. Such a defect of the current authorship requirement has to be fixed to respond to the technological change of artificial intelligence and the burgeoning prevalence of AI- or advanced computer program-generated works.

This dissertation’s main goal is to fix the flaw …

The Digital Transformation Of Law: Are We Prepared For Artificially Intelligent Legal Practice?, Larry Bridgesmith, Dr. Adel Elmessiry

Akron Law Review

We live in an instant access and on-demand world of information sharing. The global COVID-19 pandemic has accelerated the necessity of remote working and team collaboration. Work teams are exploring and utilizing the remote work platforms required to serve in place of stand-ups common in the agile workplace. Online tools are needed to provide visibility to the status of projects and the accountability necessary to ensure that tasks are completed on time and on budget. Digital transformation of organizational data is now the target of AI projects to provide enterprise transparency and predictive insights into the process of work. In …

New Innovation Models In Medical Ai, W Nicholson Price Ii, Rachel E. Sachs, Rebecca S. Eisenberg

Articles

In recent years, scientists and researchers have devoted considerable resources to developing medical artificial intelligence (AI) technologies. Many of these technologies—particularly those that resemble traditional medical devices in their functions—have received substantial attention in the legal and policy literature. But other types of novel AI technologies, such as those related to quality improvement and optimizing use of scarce facilities, have been largely absent from the discussion thus far. These AI innovations have the potential to shed light on important aspects of health innovation policy. First, these AI innovations interact less with the legal regimes that scholars traditionally conceive of as …

Masalah Penggunaan Ciptaan Sebagai Data Masukan Dalam Pengembangan Artificial Intelligence Di Indonesia, Ari Juliano Gema

Technology and Economics Law Journal

The development of Artificial Intelligence (AI) is growing so fast. The availability of input data is important because it has a major impact on how the AI system will be developed. The use of copyrighted works as input data in AI development is also unavoidable. This paper tries to examine how the copyright law in Indonesia relates to the use of copyrighted works as input data for AI development. Based on the results of the study, it is known that the use of copyrighted works as input data for AI development in Indonesia still has to respect the exclusive rights …

Ai Derivatives: The Application To The Derivative Work Right To Literary And Artistic Productions Of Ai Machines, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

This Article predicts that there will be attempts to use courts to try to broaden the derivative work right in litigation either to prevent the use of, or claim protection for, literary and artistic productions made by Artificial Intelligence (AI) machines. This Article considers the normative valence of, and the (significant) doctrinal pitfalls associated with, such attempts. It also considers a possible legislative alternative, namely attempts to introduce a new sui generis right in AI productions. Finally, this Article explains how, whether such attempts succeed or not, the debate on rights (if any) in productions made by AI machines is …

Artificial Intelligence In Canadian Healthcare: Will The Law Protect Us From Algorithmic Bias Resulting In Discrimination?, Bradley Henderson, Colleen M. Flood, Teresa Scassa

Canadian Journal of Law and Technology

In this article, we canvas why AI may perpetuate or exacerbate extant discrimination through a review of the training, development, and implementation of healthcare-related AI applications and set out policy options to militate against such discrimination. The article is divided into eight short parts including this introduction. Part II focuses on explaining AI, some of its basic functions and processes, and its relevance to healthcare. In Part III, we define and explain the difference and relationship between algorithmic bias and data bias, both of which can result in discrimination in healthcare settings, and provide some prominent examples of healthcare-related AI …

Distributed Governance Of Medical Ai, W. Nicholson Price Ii

SMU Science and Technology Law Review

Artificial intelligence (AI) has the potential to democratize expertise in medicine, bring expertise previously limited to specialists to a variety of health-care settings. But AI can easily falter, and making sure that AI works well across that variety of settings is a challenging task. Centralized governance, such as review by the Food and Drug Administration, can only do so much, since system performance will depend on the particular health-care setting and how the AI system is integrated into setting-specific clinical workflows. This Essay presents the need for distributed governance, where some oversight tasks are undertaken in localized settings. It points …

Data Privacy, Human Rights, And Algorithmic Opacity, Sylvia Lu

Fellow, Adjunct, Lecturer, and Research Scholar Works

Decades ago, it was difficult to imagine a reality in which artificial intelligence (AI) could penetrate every corner of our lives to monitor our innermost selves for commercial interests. Within just a few decades, the private sector has seen a wild proliferation of AI systems, many of which are more powerful and penetrating than anticipated. In many cases, AI systems have become “the power behind the throne,” tracking user activities and making fateful decisions through predictive analysis of personal information. Despite the growing power of AI, proprietary algorithmic systems can be technically complex, legally claimed as trade secrets, and managerially …

A Compulsory Solution To The Machine Problem, Cole G. Merritt

Vanderbilt Law School Faculty Publications

Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.

To embrace the development and power of AI, Congress …