Villarroya, Anna, Boté-Vericad, Juan-José, Fedele, Maddalena, Vállez, Mari, Mešić, Alma (prevodilac), Silajdžić, Lamija (prevodilac), Khattab, Džejla (prevodilac) and Hajdarpašić, Lejla (prevodilac) Gender biases in large language models., 2026 UNSPECIFIED. [Other]
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English abstract
This resource examines gender bias in large language models and how AI systems can reproduce and amplify existing social inequalities. It explores methods for detecting gender bias, the social implications of biased AI, and the role of open-source models in promoting transparency and accountability.
Bosnian abstract
Ovaj resurs ispituje rodne pristrasnosti u velikim jezičkim modelima i kako sistemi umjetne inteligencije mogu reproducirati i pojačati postojeće društvene nejednakosti. Istražuje metode za otkrivanje rodnih pristrasnosti, društvene implikacije pristrasne umjetne inteligencije i ulogu modela otvorenog koda u promovisanju transparentnosti i odgovornosti.
| Item type: | Other |
|---|---|
| Additional information: | Ovaj resurs je dio evropskog projekta GEDIS (Gender Diversity in Information Science), koji promoviše upotrebu otvorenih obrazovnih alata za rješavanje rodnih nejednakosti u visokom obrazovanju, s fokusom na područja povezana s bibliotečkim i informacijskim naukama. |
| Keywords: | veliki jezički modeli, rodne pristrasnosti; Gender Diversity; Information Science; Challenges; Higher Education; Large Languaje Models; LLM; Artificial intelligence; AI; Gender bias. |
| Subjects: | A. Theoretical and general aspects of libraries and information. > AC. Relationship of LIS with other fields . L. Information technology and library technology > LZ. None of these, but in this section. |
| Depositing user: | Ms. Dzejla Khattab |
| Date deposited: | 15 Mar 2026 15:02 |
| Last modified: | 15 Mar 2026 15:02 |
| URI: | http://hdl.handle.net/10760/47719 |
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