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Posted: Sat Jul 12, 2025 3:40 am
Policymakers dazzled by the latest developments in consumer-facing AI should not forget that there are other uses of this general purpose technology–many of them outside the commercial context of traditional copyright industries–which nevertheless serve the purpose of copyright: “to increase and not to impede the harvest of knowledge.”
Traditional copyright policymaking also frequently excludes or overlooks the world of open licensing. But in this new space, many of the tools come from the open source community, and much of the phone number database data comes from openly-licensed sources like. Industry groups that claim to represent the voice of authors typically do not represent such creators, and their proposed solutions–usually, demands that payment be made to corporate publishers or to collective rights management organizations–often don’t benefit, and are inconsistent with, the thinking of the open world.
Moreover, even aside from openly licensed material, there are vast troves of technically copyrighted but not actively rights-managed content on the open web; these are also used to train AI models. Millions, if not billions, of individuals have contributed to these data sources, and because none of them are required to register their work for copyright to arise, it does not seem possible or sensible to try to identify all of the relevant copyright owners–let alone negotiate with each of them–before development can continue.
Traditional copyright policymaking also frequently excludes or overlooks the world of open licensing. But in this new space, many of the tools come from the open source community, and much of the phone number database data comes from openly-licensed sources like. Industry groups that claim to represent the voice of authors typically do not represent such creators, and their proposed solutions–usually, demands that payment be made to corporate publishers or to collective rights management organizations–often don’t benefit, and are inconsistent with, the thinking of the open world.
Moreover, even aside from openly licensed material, there are vast troves of technically copyrighted but not actively rights-managed content on the open web; these are also used to train AI models. Millions, if not billions, of individuals have contributed to these data sources, and because none of them are required to register their work for copyright to arise, it does not seem possible or sensible to try to identify all of the relevant copyright owners–let alone negotiate with each of them–before development can continue.