Dopo le parti 1 e 2, è ora uscita la parte 3 dell’ampio studio dello US Copyright Office sul rapporto tra AI e diritto di autore (Copyright and Artificial Intelligence Part 3: Generative AI Training, May 2025).
La parte 3 (come anticipato nel mio post 28.02.2025 sulla parte 2) riguarda la questione del se lo sviluppo o in generale la preparazione dell’AI su materiali protetti incida sui relativi diritti.
La risposta è positiva. Resta allora da capire -nel diritto USA- se sia invocabile la difesa del Fair Use: soluzione difficile, conclude l’Ufficio, per cui è auspicabile il diffondersi di un adeguato sistema di licenze.
La questione è più complicata nel diritto UE, dove manca una clausola generale permissiva di pari portata, essendovi invece eccezioni (o limitazioni) specificamente previste.
Ecco la Conclusione:
<<In applying current law, we conclude that several stages in the development of
generative AI involve using copyrighted works in ways that implicate the owners’ exclusive rights. The key question, as most commenters agreed, is whether those acts of prima facie infringement can be excused as fair use.
The fair use determination requires balancing multiple statutory factors in light of all relevant circumstances. Although it is not possible to prejudge the result in any particular case, precedent supports the following general observations:
Various uses of copyrighted works in AI training are likely to be transformative. The extent to which they are fair, however, will depend on what works were used, from what source, for what purpose, and with what controls on the outputs—all of which can affect the market. When a model is deployed for purposes such as analysis or research—the types of uses that are critical to international competitiveness—the outputs are unlikely to substitute for expressive works used in training. But making commercial use of vast troves of copyrighted works to produce expressive content that competes with them in existing markets, especially where this is accomplished through illegal access, goes beyond established fair use boundaries.
For those uses that may not qualify as fair, practical solutions are critical to support ongoing innovation. Licensing agreements for AI training, both individual and collective, are fast emerging in certain sectors, although their availability so far is inconsistent. Given the robust growth of voluntary licensing, as well as the lack of stakeholder support for any statutory change, the Office believes government intervention would be premature at this time.
Rather, licensing markets should continue to develop, extending early successes into more contexts as soon as possible. In those areas where remaining gaps are unlikely to be filled, alternative approaches such as extended collective licensing should be considered to address any market failure.
In our view, American leadership in the AI space would best be furthered by supporting both of these world-class industries that contribute so much to our economic and cultural advancement. Effective licensing options can ensure that innovation continues to advance without undermining intellectual property rights. These groundbreaking technologies should benefit both the innovators who design them and the creators whose content fuels them, as well as the general public.
Finally, as in prior Parts of this Report, the Office recognizes that facts on the ground are evolving at a rapid pace. We will continue to monitor developments in technology, case law, and markets, and to offer further assistance to Congress as it considers these issues >>

