Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance

Wambsganss, Thiemo; Su, Xiaotian; Swamy, Vinitra; Neshaei, Seyed; Rietsche, Roman; Käser, Tanja (6 December 2023). Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance In: Findings of the Association for Computational Linguistics: EMNLP 2023. Singapore. Dec 6th to Dec 10th, 2023.

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Official URL: https://2023.emnlp.org/

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

Business School > Institute for Digital Technology Management
Business School

Name:

Wambsganss, Thiemo0000-0002-7440-9357;
Su, Xiaotian;
Swamy, Vinitra;
Neshaei, Seyed;
Rietsche, Roman0000-0002-6112-1709 and
Käser, Tanja

Subjects:

T Technology > T Technology (General)

Language:

English

Submitter:

Prof. Dr. Thiemo Wambsganss

Date Deposited:

14 Aug 2024 11:41

Last Modified:

14 Aug 2024 11:41

Related URLs:

URI:

https://arbor.bfh.ch/id/eprint/22126

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