Copyright Office suggests AI copyright debate was settled in 1965; Ars Technica, January 30, 2025

ASHLEY BELANGER , Ars Technica; Copyright Office suggests AI copyright debate was settled in 1965

"For stakeholders who have been awaiting this guidance for months, the Copyright Office report may not change the law, but it offers some clarity.

For some artists who hoped to push the Copyright Office to adapt laws, the guidelines may disappoint, leaving many questions about a world of possible creative AI uses unanswered. But while a case-by-case approach may leave some artists unsure about which parts of their works are copyrightable, seemingly common cases are being resolved more readily. According to the Copyright Office, after each decision, it gets easier to register AI works that meet similar standards for copyrightability. Perhaps over time, artists will grow more secure in how they use AI and whether it will impact their exclusive rights to distribute works.

That's likely cold comfort for the artist advocating for prompting alone to constitute authorship. One AI artist told Ars in October that being denied a copyright has meant suffering being mocked and watching his award-winning work freely used anywhere online without his permission and without payment. But in the end, the Copyright Office was apparently more sympathetic to other commenters who warned that humanity's progress in the arts could be hampered if a flood of easily generated, copyrightable AI works drowned too many humans out of the market...

Although the Copyright Office suggested that this week's report might be the most highly anticipated, Jernite said that Hugging Face is eager to see the next report, which officials said would focus on "the legal implications of training AI models on copyrighted works, including licensing considerations and the allocation of any potential liability.""

U.S. Copyright Office to Begin Issuing Further AI Guidance in January 2025; The National Law Review, January 2, 2025

 John Hines of The Sedona Conference  , The National Law Review; U.S. Copyright Office to Begin Issuing Further AI Guidance in January 2025

"Parts 2 and 3, which have not yet been released, will be of heightened interest to content creators and to individuals and businesses involved in developing and deploying AI technologies. Ultimate regulatory and legislative determinations could materially recalibrate the scope of ownership and protection afforded to works of authorship, and the stakes are extremely high...

Part 2 of the report, which the Copyright Office expects to publish “after the New Year Holiday,” will address the copyrightability of AI-generated works, and more specifically, how the nature and degree of such use affects copyrightability and registrability. Current law is clear that to be copyrightable, a work must be created by a human. E.g., Thaler v. Perlmutter, 678 F.Supp. 140 (D.DC 2023), on appeal. However assistive tools are used in virtually all creation, from pencils to cameras to photo-editing software programs. In the context of registrability, the Copyright Office offered the following distinction in its March 2023 guidance: “[W]hether the ‘work’ is basically one of human authorship, with the computer [or other device] merely being an assisting instrument, or whether the traditional elements of authorship in the work (literary, artistic, or musical expression or elements of selection, arrangement, etc.) were actually conceived and executed not by man but by a machine.” In Part 2, the Copyright Office will have an additional opportunity to explore these and related issues – this time with the advantage of the many comments offered through the Notice of Inquiry process.

Part 3 of the report, which the Copyright Office anticipates releasing “in the first quarter of 2025,” will focus on issues associated with training data. AI models, depending on their size and scope, may train on millions of documents—many of which are copyrighted or copyrightable— acquired from the Internet or through acquisition of various robust databases. Users of “trained” AI technologies will typically input written prompts to generate written content or images, depending on the model (Sora is now available to generate video). The output is essentially a prediction based on a correlation of values in the model (extracted from the training data) and values that are derived from the user prompts.

Numerous lawsuits, perhaps most notably the case that The New York Times filed against Microsoft and OpenAI, have alleged that the use of data to train AI models constitutes copyright infringement. In many cases there may be little question of copying in the course of uploading data to train the models. Among a variety of issues, a core common issue will be whether the use of the data for training purposes is fair use. Content creators, of course, point to the fact that they have built their livelihoods and/or businesses around their creations and that they should be compensated for what is a violation of their exclusive rights."

Navigating the Patchwork of AI Laws, Standards, and Guidance; American Bar Association (ABA), May 9, 2024

 Emily Maxim Lamm , American Bar Association (ABA); Navigating the Patchwork of AI Laws, Standards, and Guidance

"The opening weeks of 2024 have seen a record number of state legislative proposals seeking to regulate artificial intelligence (AI) across different sectors in the United States...

With this type of rapid-fire start to the 2024 legislative season, the AI legal landscape will likely continue evolving across the board. As a result, organizations today are facing a complex and dizzying web of proposed and existing AI laws, standards, and guidance.

This article aims to provide a cohesive overview of this AI patchwork and to help organizations navigate this increasingly intricate terrain. The focus here will be on the implications of the White House AI Executive Order, existing state and local laws in the United States, the European Union’s AI Act, and, finally, governance standards to help bring these diverse elements together within a framework."