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Oren Bracha, The Work of Copyright in the Age of Machine Reproduction, available at SSRN (Sept. 24, 2023).

In our modern communication environment, conventional wisdom very swiftly captures and narrows our channels of thought. This is due in no small part to the unceasing production of commentary, which means that every perspective on any important new issue is made available and explored (to use the digital age’s most lamentable neologism) in “real time.”

That is true already of the copyright debates around AI. In particular, it has already become conventional wisdom, and the starting point for discussion, that the use of datasets containing copyrighted works for purposes of training AI models involves reproduction of unauthorized copies of those works, and so is a prima facie infringement. The lawfulness of AI training, it is then said, can be established only by determining whether that activity constitutes fair use.

Oren Bracha’s new article, The Work of Copyright in the Age of Machine Reproduction,1 focused on copyright implications of AI, seeks to upset this conventional view. The process of using datasets of in-copyright works for AI training purposes, Bracha argues, does not implicate copyright’s reproduction right at all, at least if the concept of a “copy” is properly understood and informed by copyright’s essential commitments. The reason it does not involve the production of a copy, flows, for Bracha’s purposes, from copyright’s fundamental rule against propertizing ideas and other unprotectable elements in copyrighted works.

Bracha explains why many copyright sophisticates have so readily concluded that the mass copying of copyrighted works to train AI is prima facie infringement. His shorthand characterization of this argument is “a copy is a copy is a copy.” It rests on an assumption that the unauthorized copying of an entire copyrighted work must support at least a prima facie case of copyright infringement, regardless of the purpose for which the copy was made. In this view, infringement lies based on the fact that a copy was made, simpliciter. The “why” becomes relevant only later when making a fair use analysis. Courts routinely treat fair use as a defense, the burden on which is with the defendant, even if the Copyright Act explicitly directs otherwise.2

Bracha debunks this “a copy is a copy is a copy” argument as a “physicalism” fallacy and shows its inconsistency with “the basic purpose of the [copyright] field.” He argues that this purpose “is grounded in the production and use dynamics of expression and expression alone.” And hence, “[p]hysical facts—whether the making of physical objects, their display, or transfer of possession in them—are never relevant in themselves.” They are relevant “only to the extent they involve in some way the enjoyment by relevant actors of the use value of expression.”

This is why Bracha maintains that the conventional wisdom about physical copying is wrong. A “copy” made for the purpose of training AI is not the kind of copy that can infringe copyright’s reproduction right: “Making a new physical copy when the expression embodied in it will be experienced by no one is not any more relevant for copyright than using an existing copy as a doorstop.”

Moreover, the copyright irrelevance of training copies, Bracha insists, does not depend on circumstances: “Mere physical reproduction, delinked from enjoyment of the expressive value of a work and completely incidental to accessing the meta-knowledge of acquiring skill, is categorically placed outside of copyright’s domain.”

One virtue of Bracha’s argument is that it does not rest solely on theory. It attempts to ground itself instead on core copyright doctrine. Bracha argues, plausibly, that “the meta-knowledge of acquiring skill” (i.e., the thing that we want AI to “learn” when we copy copyrighted works for the purpose of AI training) belongs in the category of ideas, not expression.

Put differently, studying a work to understand its “style,” or the conventions it deploys, is, at bottom, nothing more than the discernment and consumption of ideas about that work and others like it. And if access to the work’s expression is necessary to access the work’s meta-knowledge “ideas”, then the expression is subject to merger; that is, all expression in the copyrighted work would then merge into the meta-knowledge idea. Copyright’s merger doctrine concerns copyrightability, and is not just a defense to infringement. As a consequence, the plaintiff’s infringement claim, Bracha argues, simply fails to launch. For that reason, the fate of AI training need not, Bracha argues, rest on the “slender shoulders” of the fair use doctrine.

There is much more in the article that, in similar style, attempts to upend the conventional wisdom about copyright and AI. I’ll leave those parts to this jot’s readers. I for one admired Bracha’s bold article even though I suspect his arguments are unlikely to convince courts mired in copyright formalism.

In the end, the conventional wisdom is likely to be durable. That doesn’t mean it’s right.

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  1. I appreciate the shout-out in Bracha’s title to Walter Benjamin’s seminal 1935 essay The Work of Art in the Age of Mechanical Reproduction.
  2. See 17 U.S.C. § 107 (“Notwithstanding the provisions of sections 106 and 106A, the fair use of a copyrighted work … is not an infringement of copyright.”)
Cite as: Christopher J. Sprigman, Upsetting Conventional Wisdom of Copyright Scholarship in the Age of AI, JOTWELL (March 28, 2024) (reviewing Oren Bracha, The Work of Copyright in the Age of Machine Reproduction, available at SSRN (Sept. 24, 2023)), https://ip.jotwell.com/upsetting-conventional-wisdom-of-copyright-scholarship-in-the-age-of-ai/.