mlsanityData to 7 Oct 2026

Concerns on Bias in Large Language Models when Creating Synthetic Personae

arXiv 2405.05080 ↗First posted 8 May 2024cs.HC cs.AIcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 3 of its 18 references that are in the map. First posted on arXiv 8 May 2024.

Builds on

3 of 18 references.

References · 3

  1. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 196
  2. 2023Auditing large language models: a three-layered approachcited by 135
  3. 2021Qualitative Analysis for Human Centered AIcited by 4

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