Introduction to the Special Issue: Responsible AI in Libraries and Archives
Librarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new technologies. Therefore, as librarians and archivists...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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UMass Chan Medical School, Lamar Soutter Library
2024-03-01
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| Series: | Journal of eScience Librarianship |
| Subjects: | |
| Online Access: | https://publishing.escholarship.umassmed.edu/jeslib/article/id/860/ |
| _version_ | 1797268109255507968 |
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| author | Bonnie Sheehey Doralyn Rossmann Hannah Scates Kettler Jason Clark Natalie Bond Sara Mannheimer Scott W. H. Young Yasmeen Shorish |
| author_facet | Bonnie Sheehey Doralyn Rossmann Hannah Scates Kettler Jason Clark Natalie Bond Sara Mannheimer Scott W. H. Young Yasmeen Shorish |
| author_sort | Bonnie Sheehey |
| collection | DOAJ |
| description | Librarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new technologies. Therefore, as librarians and archivists have begun using artificial intelligence (AI) to enhance library services, we also aim to interrogate the ethical issues that arise while using AI to enhance collection description and discovery and streamline reference services and teaching. The IMLS-funded Responsible AI in Libraries and Archives project aims to create resources that will help practitioners make ethical decisions when implementing AI in their work. The case studies in this special issue are one such resource. Seven overarching ethical issues come to light in these case studies—privacy, consent, accuracy, labor considerations, the digital divide, bias, and transparency. This introduction reviews each issue and describes strategies suggested by case study authors to reduce harms and mitigate these issues. |
| first_indexed | 2024-04-25T01:27:15Z |
| format | Article |
| id | doaj.art-ceb37ed3507849bfa6a76b78017286ca |
| institution | Directory Open Access Journal |
| issn | 2161-3974 |
| language | English |
| last_indexed | 2024-04-25T01:27:15Z |
| publishDate | 2024-03-01 |
| publisher | UMass Chan Medical School, Lamar Soutter Library |
| record_format | Article |
| series | Journal of eScience Librarianship |
| spelling | doaj.art-ceb37ed3507849bfa6a76b78017286ca2024-03-08T18:00:45ZengUMass Chan Medical School, Lamar Soutter LibraryJournal of eScience Librarianship2161-39742024-03-0113110.7191/jeslib.860Introduction to the Special Issue: Responsible AI in Libraries and ArchivesBonnie Sheehey0https://orcid.org/0000-0001-9088-1304Doralyn Rossmann1https://orcid.org/0000-0002-6490-4223Hannah Scates Kettler2https://orcid.org/0000-0001-7706-713XJason Clark3https://orcid.org/0000-0002-3588-6257Natalie Bond4https://orcid.org/0000-0001-6850-2021Sara Mannheimer5https://orcid.org/0000-0002-1433-6782Scott W. H. Young6https://orcid.org/0000-0002-3082-4057Yasmeen Shorish7https://orcid.org/0000-0002-4155-8241History & Philosophy, Montana State UniversityMontana State University - BozemanLibrary, Iowa State UniversityMontana State University - BozemanLibrary, University of MontanaMontana State University-BozemanMontana State University - BozemanJames Madison UniversityLibrarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new technologies. Therefore, as librarians and archivists have begun using artificial intelligence (AI) to enhance library services, we also aim to interrogate the ethical issues that arise while using AI to enhance collection description and discovery and streamline reference services and teaching. The IMLS-funded Responsible AI in Libraries and Archives project aims to create resources that will help practitioners make ethical decisions when implementing AI in their work. The case studies in this special issue are one such resource. Seven overarching ethical issues come to light in these case studies—privacy, consent, accuracy, labor considerations, the digital divide, bias, and transparency. This introduction reviews each issue and describes strategies suggested by case study authors to reduce harms and mitigate these issues.https://publishing.escholarship.umassmed.edu/jeslib/article/id/860/Responsible AIartificial intelligenceprivacyconsentaccuracylabor |
| spellingShingle | Bonnie Sheehey Doralyn Rossmann Hannah Scates Kettler Jason Clark Natalie Bond Sara Mannheimer Scott W. H. Young Yasmeen Shorish Introduction to the Special Issue: Responsible AI in Libraries and Archives Journal of eScience Librarianship Responsible AI artificial intelligence privacy consent accuracy labor |
| title | Introduction to the Special Issue: Responsible AI in Libraries and Archives |
| title_full | Introduction to the Special Issue: Responsible AI in Libraries and Archives |
| title_fullStr | Introduction to the Special Issue: Responsible AI in Libraries and Archives |
| title_full_unstemmed | Introduction to the Special Issue: Responsible AI in Libraries and Archives |
| title_short | Introduction to the Special Issue: Responsible AI in Libraries and Archives |
| title_sort | introduction to the special issue responsible ai in libraries and archives |
| topic | Responsible AI artificial intelligence privacy consent accuracy labor |
| url | https://publishing.escholarship.umassmed.edu/jeslib/article/id/860/ |
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