Concerns on Bias in Large Language Models when Creating Synthetic Personae

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Autore principale:	Haxvig, Helena A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction Artificial Intelligence
Accesso online:	Acceder al recurso
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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

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