Ethical AI and Librarianship
A Resource Guide
AI challenges for librarians
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Field
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Description | |
|---|---|---|
| Title | AI challenges for librarians | |
| Type | Articles | |
| Creator | Darrell Gunter | |
| Link | https://www.researchinformation.info/analysis-opinion/ai-challenges-librarians | |
| Creation Date | 02/12/2024 | |
| Last Updated Date | -- | |
| Summary | This article critically examines bias, ethics, and copyright in AI in a library setting. The author identifies specific ethical concerns, which include algorithmic bias, privacy, ethical AI, accuracy and reliability, user education, limited understanding of AI, resource allocation to support AI implementation, digital divide, representation in training data, fairness and equity, transparency, community engagement, education and awareness, and ongoing monitoring and evaluation. Additionally, the author points readers to relevant resources, such as the AI Ethicist website which lists more than 76 organizations that address AI bias and ethics. The author, Darrell Gunter, is CEO of Gunter Media Group and a writer. The source, Research Information, is a publication targeted at international publishers, librarians, information professionals, and academics. | |
| Topic | AI. Libraries. AI and librarianship. Ethical AI. | |
| Source and Link | Research Information https://www.researchinformation.info/ | |
| Access | Open | |
| Accessibility | -- | |
| Audience | Librarians – General | |
| Platform or Format | Web | |
| Length | 5 pages | |
| Geography | USA | |
| Language | eng | |
| Description Date | 06/25/2025 |