AI Authorship Revisited.
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| Title: | AI Authorship Revisited. |
|---|---|
| Authors: | Samuelson, Pamela1 (AUTHOR) pam@law.berkeley.edu |
| Source: | Communications of the ACM. Jul2025, Vol. 68 Issue 7, p26-28. 3p. |
| Subjects: | Generative artificial intelligence, Authorship, Library of Congress. Copyright Office, Actions & defenses (Law), Kashtanova, Kris, Thaler, Stephen |
| Abstract: | This article presents a current state of generative artificial intelligence (genAI) outputs and copyright protection. The article details the United States Copyright Office’s statements and policies on human authorship and copyrightability in works involving genAI outputs. Stephen Thaler and Kris Kashtanova and their interactions with the Copyright Office as well as relevant court cases are discussed. The article then discusses the theory of authorship by adoption, creative prompting and expressive inputs. |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186249342 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI Authorship Revisited. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Samuelson%2C+Pamela%22">Samuelson, Pamela</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pam@law.berkeley.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Jul2025, Vol. 68 Issue 7, p26-28. 3p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Library+of+Congress%2E+Copyright+Office%22">Library of Congress. Copyright Office</searchLink><br /><searchLink fieldCode="DE" term="%22Actions+%26+defenses+%28Law%29%22">Actions & defenses (Law)</searchLink><br /><searchLink fieldCode="DE" term="%22Kashtanova%2C+Kris%22">Kashtanova, Kris</searchLink><br /><searchLink fieldCode="DE" term="%22Thaler%2C+Stephen%22">Thaler, Stephen</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article presents a current state of generative artificial intelligence (genAI) outputs and copyright protection. The article details the United States Copyright Office’s statements and policies on human authorship and copyrightability in works involving genAI outputs. Stephen Thaler and Kris Kashtanova and their interactions with the Copyright Office as well as relevant court cases are discussed. The article then discusses the theory of authorship by adoption, creative prompting and expressive inputs. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=186249342 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3732797 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 26 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Authorship Type: general – SubjectFull: Library of Congress. Copyright Office Type: general – SubjectFull: Actions & defenses (Law) Type: general – SubjectFull: Kashtanova, Kris Type: general – SubjectFull: Thaler, Stephen Type: general Titles: – TitleFull: AI Authorship Revisited. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Samuelson, Pamela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00010782 Numbering: – Type: volume Value: 68 – Type: issue Value: 7 Titles: – TitleFull: Communications of the ACM Type: main |
| ResultId | 1 |