U.S. Copyright Office's Questions about Generative AI.
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| Title: | U.S. Copyright Office's Questions about Generative AI. |
|---|---|
| Authors: | Samuelson, Pamela1 (AUTHOR) pam@law.berkeley.edu |
| Source: | Communications of the ACM. Mar2024, Vol. 67 Issue 3, p25-28. 4p. |
| Subjects: | Generative artificial intelligence, Library of Congress. Copyright Office, Copyright, Public opinion, Artificial intelligence laws |
| Abstract: | An opinion is presented in which the author discusses the U.S. Copyright Office's initiative, which invited written comments to questions concerning generative artificial intelligence (AI) and copyright issues published in a Notice of Inquiry (NOI) on August 30, 2023. It is noted that the Office received around 10,000 comments in response to its inquiry. Some of the comments which focus on topics including copyright infringement and training data as well as training data disclosure requirements are discussed |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 175599206 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: U.S. Copyright Office's Questions about Generative AI. – 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>. Mar2024, Vol. 67 Issue 3, p25-28. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Library+of+Congress%2E+Copyright+Office%22">Library of Congress. Copyright Office</searchLink><br /><searchLink fieldCode="DE" term="%22Copyright%22">Copyright</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+laws%22">Artificial intelligence laws</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: An opinion is presented in which the author discusses the U.S. Copyright Office's initiative, which invited written comments to questions concerning generative artificial intelligence (AI) and copyright issues published in a Notice of Inquiry (NOI) on August 30, 2023. It is noted that the Office received around 10,000 comments in response to its inquiry. Some of the comments which focus on topics including copyright infringement and training data as well as training data disclosure requirements are discussed |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=175599206 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3637627 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 25 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Library of Congress. Copyright Office Type: general – SubjectFull: Copyright Type: general – SubjectFull: Public opinion Type: general – SubjectFull: Artificial intelligence laws Type: general Titles: – TitleFull: U.S. Copyright Office's Questions about Generative AI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Samuelson, Pamela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00010782 Numbering: – Type: volume Value: 67 – Type: issue Value: 3 Titles: – TitleFull: Communications of the ACM Type: main |
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