Ethical AI and Librarianship
A Resource Guide
Artificial Intelligence (AI) for Business Librarians
|
Field
|
Description |
|---|---|
| Title | Artificial Intelligence (AI) for Business Librarians |
| Type | Resource lists |
| Creator | Jonathan Torres, Susan Klopper, Jimmy McKee, Terence O'Neill, Jennifer Pesek, Julia Eisenstein, Terah Drent |
| Link | https://brass.libguides.com/ai |
| Creation Date | 2024 |
| Last Updated Date | 12/20/2024 |
| Summary | Designed for business academic librarians, this resource list is compiled by the Business Reference and Services Section (BRASS) of RUSA (Reference and User Services Association), which is a division of American Library Association (ALA). The resource list covers several AI-related topics, including introduction to AI, information literacy and AI, AI pedagogy, searching with AI, evaluating outcomes, Ethics, licensing, AI uses in business, helpful resources, and academic research on AI. Among these topics, the Ethics section is particularly relevant. It covers ethical concerns in the generation and application of AI models, such as copyright, bias and socio-economic inequality, climate change, misuse of AI, and plagiarism and AI. |
| Topic | Ethical AI. Information literacy. Teaching and learning. Search. Copyright. Research. |
| Source and Link | Reference and User Services Association (RUSA) https://www.ala.org/rusa/sections/brass |
| Access | Open |
| Accessibility | Open |
| Audience | Librarians – Academic (Business). Scholars and Students. |
| Platform or Format | Web |
| Length | 41 pages |
| Geography | General |
| Language | eng |
| Description Date | 04/28/2025 |