Ethical AI and Librarianship
A Resource Guide
Generative AI at UVA
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Field
|
Description |
|---|---|
| Title | Generative AI at UVA |
| Type | Resource lists |
| Creator | University of Virginia Library |
| Link | https://guides.lib.virginia.edu/genai |
| Creation Date | -- |
| Last Updated Date | -- |
| Summary | This master resource list is created by the University of Virginia Library to support students, faculty, and researchers in navigating the landscape of generative AI in higher education. It covers key topics including: 1) What generative AI is; 2) Ethical AI use and cautions; 3) Copyright and intellectual property; 4) Publishing with AI; 5) Citing and documenting AI in research; 6) Use of generative AI tools and images; 7) Bibliographies and further reading; 8) UVA-supported tools such as Copilot Chat and Consensus (an AI-powered academic search engine). Each section is accompanied by explanatory notes and curated resources that highlight critical points of the resources. The “Cautions and Considerations” section is particularly relevant to ethical AI, addressing issues such as evaluating the accuracy, provenance and potential biases of AI content, privacy and equity considerations, challenges related to data integrity and algorithmic transparency, environmental footprint of AI systems, principles of fairness, transparency in AI systems, global AI ethics standards, AI-related risks. In addition, several other sections also address ethical AI: “Copyright and Intellectual Property” offers insights into the current state of AI copyright laws and policies, “Publishing with AI” features a regularly updated list of publisher guidelines on the use and disclosure of AI tools, “Documenting and Citing AI” provides guidance on how to document use of AI tools in research to ensure transparency and research integrity, “Bibliography & Further Reading” compiles a list of books and materials that examine the ethical issues of AI such as bias, privacy, environmental impact, and inequality. |
| Topic | Ethical AI. Bias. Copyright. Research integrity. |
| Source and Link | University of Virginia Library https://library.virginia.edu/ |
| Access | Open |
| Accessibility | Open |
| Audience | Scholars and Students. Librarians – Academic |
| Platform or Format | Web |
| Length | -- |
| Geography | USA |
| Language | ENG |
| Description Date | 05/22/2025 |