Does Using In-Copyright Works as Training Data Infringe?
The article discusses the legal aspects of copyrights in relation to generative artificial intelligence (GenAI) developments, and it mentions copyright infringement claims involving the use of in-copyright materials in GenAI training data. The copyright court cases Bartz v. Anthropic and Kadrey v, M...
| Publicado en: | Communications of the ACM Vol. 68; no. 11; pp. 28 - 31 |
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| Autor principal: | |
| Formato: | Opinion |
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Association for Computing Machinery
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=188947699&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 188947699 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2025 vid: 68 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 188947699 10.1145/3764097 ppf: 28 ppct: 3 formats: tig: atl: Does Using In-Copyright Works as Training Data Infringe? aug: au: Samuelson, Pamela affil: University of California, Berkeley, CA, USA su: Copyright infringement Generative artificial intelligence Training Copyright cases Fair use (Copyright) Book piracy Copyright Data sug: subj: Copyright infringement Generative artificial intelligence Training Copyright cases Fair use (Copyright) Book piracy Copyright Data ab: The article discusses the legal aspects of copyrights in relation to generative artificial intelligence (GenAI) developments, and it mentions copyright infringement claims involving the use of in-copyright materials in GenAI training data. The copyright court cases Bartz v. Anthropic and Kadrey v, Meta are assessed, as well as copyright's fair use doctrine, legal defenses, and, copyright-related piracy of books. Lost sales and market dilution are addressed. pubtype: Periodical doctype: Opinion src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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