Ethical AI and Librarianship
A Resource Guide
Developing responsible AI practices at the Smithsonian Institution
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Description | |
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| Title | Developing responsible AI practices at the Smithsonian Institution | |
| Type | Articles | |
| Creator | Rebecca B Dikow. Corey DiPietro. Michael G Trizna. Hanna BredenbeckCorp. Madeline G Bursell. Jenna T B Ekwealor. Richard G J Hodel. Nilda Lopez. William J B Mattingly. Jeremy Munro. Richard M Naples. Candace Oubre. Drew Robarge. Sara Snyder. Jennifer L Spillane. Melinda Jane Tomerlin. Luis J Villanueva. Alexander E White. | |
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| Creation Date | 10/25/2023 | |
| Last Updated Date | -- | |
| Summary | This article discusses the integration of AI and machine learning (ML) in the Smithsonian Institution. It presents the potential of using AI to automate tasks, such as image segmentation, object recognition, and natural language processing. Through integrating AI and ML, digital collections and archives could become more discoverable and searchable with enhanced description (e.g., tags). Recognizing the potential ethical concerns of applying AI and ML at scale, the article also presents the process of developing an AI Values Statement and an implementation plan. The link to the AI Values Statement is available in the Link information above. | |
| Topic | AI. Machine learning. Libraries. Archives. Ethical AI. | |
| Source and Link | Smithsonian Institution. https://www.si.edu | |
| Access | Open | |
| Accessibility | -- | |
| Audience | Librarians – General. Archivists. | |
| Platform or Format | Web. PDF. | |
| Length | 20 pages | |
| Geography | USA | |
| Language | eng | |
| Description Date | 06/17/2025 |