An An Ethical Framework for Mitigating AI Algorithmic Bias in Information Resource Development
Abstract This opinion paper takes up the crucial topic of algorithmic bias for AI powered collection development, asserting that these biases have the potential to create disparities, stifle intellectual openness and undermine principles in academic libraries. The paper’s novel contributions lies...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Ecole des Sciences de l'Information
2026-02-01
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| Serie: | Journal of Information Sciences |
| Accesso online: | https://revues.imist.ma/index.php/JIS/article/view/60583 |
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