AI Authorship Revisited.

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Bibliographic Details
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
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PubType: Periodical
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  Data: AI Authorship Revisited.
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Jul2025, Vol. 68 Issue 7, p26-28. 3p.
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  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:
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    Identifiers:
      – Type: doi
        Value: 10.1145/3732797
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      – Code: eng
        Text: English
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      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
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      – TitleFull: AI Authorship Revisited.
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          Name:
            NameFull: Samuelson, Pamela
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          Dates:
            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 68
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            – TitleFull: Communications of the ACM
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