Legal Challenges to Generative AI, Part I: Questioning the legality of using in-copyright works for training data and producing outputs derived from copyrighted training data.
The article focuses on the legal challenges surrounding generative artificial intelligence (AI) and its implications for copyright laws. It reports specifically on the Doe vs. GitHub lawsuit in which a class of programmers claim their legal rights were violated when GitHub's Copilot and OpenAI's Cod...
| Publicado en: | Communications of the ACM Vol. 66; no. 7; pp. 20 - 24 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jul2023
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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=164454612&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 164454612 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jul2023 vid: 66 iid: 7 pid: 68 pub: Association for Computing Machinery artinfo: ui: 164454612 10.1145/3597151 ppf: 20 ppct: 4 formats: tig: atl: Legal Challenges to Generative AI, Part I: Questioning the legality of using in-copyright works for training data and producing outputs derived from copyrighted training data. aug: au: Samuelson, Pamela affil: Richard M. Sherman Distinguished Professor of Law at the University of California, Berkeley, CA, USA su: Generative artificial intelligence Copyright lawsuits Open source software Github Inc. OpenAI Inc. sug: subj: Generative artificial intelligence Copyright lawsuits Open source software Github Inc. OpenAI Inc. ab: The article focuses on the legal challenges surrounding generative artificial intelligence (AI) and its implications for copyright laws. It reports specifically on the Doe vs. GitHub lawsuit in which a class of programmers claim their legal rights were violated when GitHub's Copilot and OpenAI's Codex AI programs used publicly available open source code that the litigants developed as training data for the programs. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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