Concerns on Bias in Large Language Models when Creating Synthetic Personae
May 08, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Helena A. Haxvig
arXiv ID
2405.05080
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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