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Autor principal: Haxvig, Helena A.
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2405.05080
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author Haxvig, Helena A.
author_facet Haxvig, Helena A.
contents This position paper explores the benefits, drawbacks, and ethical considerations of incorporating synthetic personae in HCI research, particularly focusing on the customization challenges beyond the limitations of current Large Language Models (LLMs). These perspectives are derived from the initial results of a sub-study employing vignettes to showcase the existence of bias within black-box LLMs and explore methods for manipulating them. The study aims to establish a foundation for understanding the challenges associated with these models, emphasizing the necessity of thorough testing before utilizing them to create synthetic personae for HCI research.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05080
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Concerns on Bias in Large Language Models when Creating Synthetic Personae
Haxvig, Helena A.
Human-Computer Interaction
Artificial Intelligence
This position paper explores the benefits, drawbacks, and ethical considerations of incorporating synthetic personae in HCI research, particularly focusing on the customization challenges beyond the limitations of current Large Language Models (LLMs). These perspectives are derived from the initial results of a sub-study employing vignettes to showcase the existence of bias within black-box LLMs and explore methods for manipulating them. The study aims to establish a foundation for understanding the challenges associated with these models, emphasizing the necessity of thorough testing before utilizing them to create synthetic personae for HCI research.
title Concerns on Bias in Large Language Models when Creating Synthetic Personae
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2405.05080