Interviews
Copyright Protection in the Age of AI: An Interview with Meaghan Kent
Published: October 2, 2024
The proliferation of generative artificial intelligence (AI) has opened up many important discussions concerning how the use of tools such as ChatGPT and the products they create intersect with various intellectual property (IP) rights, including copyright protection. As jurisdictions from around the world develop legislation and regulation efforts surrounding AI, there is no uniform approach, but trends are beginning to emerge.
Meaghan Kent (Morgan, Lewis & Bockius, USA) will moderate a session titled A Comparative Review of the Interplay Between Copyright and AI in Various Jurisdictions at the upcoming 2024 Leadership Meeting taking place next month in New Orleans, Louisiana, USA. The session will tap into expertise from several jurisdictions to provide an overview of litigation, policy, legislative, and regulatory issues regarding AI and copyright protection—including the use of copyrighted works to train models, the question of whether generative AI outputs constitute copyright infringement, and the question of how much human authorship is required for copyrightability of AI-assisted outputs.
In this interview with the INTA Bulletin, Ms. Kent sheds some light on the emerging trends in regulation across the globe, delves into both sides of the argument over whether copyrighted materials should be made available for training generative AI programs, and encourages copyright holders to be nimble and consider their options when it comes to AI.
You will be leading a session at the 2024 Leadership Meeting entitled “A Comparative Review of the Interplay Between Copyright and AI in Various Jurisdictions.” Please provide a brief overview of what registrants can expect from this discussion.
We will have panelists from the worlds of academia, government, and private practice, including from Asia, Europe, South America, and the U.S., providing a wide range of experience and perspectives on this very complicated and developing area of the law.
The panelists will discuss regulatory developments as well as pending cases that cover the important questions of potential infringement concerns and copyrightability concerns—including whether AI training using copyrighted content infringes the copyright in that content, or whether there may be carve-outs in the regulatory frameworks or by case law under the fair use doctrine. We’ll also cover whether generative AI outputs from tools that were trained using copyrighted content can infringe that underlying content and whether content created by generative AI can be protected by copyright and in what circumstances.
Several jurisdictions have or are developing frameworks and exceptions for AI training, including Brazil, the EU, Japan, and Singapore.
ChatGPT became publicly available AI at the end of 2022. Though AI has been around for many years, broad access to generative AI marked a paradigm shift in the AI space with far-reaching implications, including for IP owners and the IP community. What are some of the most recent developments in AI regulation in terms of copyright protection?
In the session, we’ll discuss regulations and pending regulations being implemented in various jurisdictions. This will include the EU AI Act, which has garnered significant attention and is expected to have far-reaching impact given the language that allows for broad application, including the obligations and exceptions articulated in the Act. We will also discuss updates within the U.S., including the AI Executive Order, the Copyright Office Studies, potential Compendium updates, the Senate AI Policy Roadmap, and introduced legislation such as the Generative AI Copyright Disclosure Act.
Another recent development we hope to discuss is Brazil’s AI legal framework and others that will impact where companies may choose to train their AI models. Singapore has carved out a Computational Data Analysis exception that is attracting some companies, and other similar regulations are being introduced in places like Japan.
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Could you broadly speak to a few of the different approaches currently being taken by jurisdictions regarding copyrights and AI?
Several jurisdictions have or are developing frameworks and exceptions for AI training, including Brazil, the EU, Japan, and as previously mentioned, Singapore. The U.S., though, is currently allowing the courts to address some of these questions and the Senate has specifically said in its AI Policy Roadmap that while it needs to “[c]onsider federal policy issues related to the data sets used by AI developers to train their models, including data sets that might contain sensitive personal data or are protected by copyright, and evaluate whether there is a need for transparency requirements,” that it is first going to review and await the results of the “existing and forthcoming reports from the U.S. Copyright Office and the U.S. Patent and Trademark Office on how AI impacts copyright and intellectual property law, and take action as deemed appropriate to ensure the U.S. continues to lead the world on this front.”
The developing laws and regulations surrounding copyright and AI require creators and innovators to be nimble and consider their options in various jurisdictions.
One of the major questions brand owners are currently asking is whether or not copyrighted materials should be made available to train generative AI models. What are the major arguments both for and against this practice?
Content creators argue that as the copyright owners, they have the right to control the copying, distribution, and creation of derivative works and that the use of their content for training without their permission infringes on those rights. The companies using the content for training have for the most part been relying on arguments of fair use, including that the use is transformative. Underlying these arguments are practical and arguably existential concerns about how this will impact creatives and how the case law and regulations can continue to encourage creativity and innovation in both the arts and technology.
Other factors that are overlapping and perhaps running parallel to this are increasing issues related to rights of publicity, digital replicas, and so-called deep fakes and the need for AI-generated works to be conspicuously identified.
What advice would you offer copyright holders right now in regard to AI?
Attend our panel as a first step! The developing laws and regulations surrounding copyright and AI require creators and innovators to be nimble and consider their various options in various jurisdictions. This session will provide an overview of these options.
Learn more and register for the 2024 Leadership Meeting.
Although every effort has been made to verify the accuracy of this article, readers are urged to check independently on matters of specific concern or interest.
© 2024 International Trademark Association
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