<b>Prevalence and Prevention of Large Language Model Use in Crowd</b> Work
Crowd workers often use LLMs, but this can have a homogenizing effect on their output. How can we—and should we—prevent LLM use in crowd work?
Authors
- Andrew M. Gordon (ORCID: https://orcid.org/0000-0003-1041-0479)
- Manoel Horta Ribeiro (ORCID: https://orcid.org/0000-0002-6159-9657)
- Veniamin Veselovsky (ORCID: https://orcid.org/0000-0002-9814-4373)
- David M. Rothschild (ORCID: https://orcid.org/0000-0002-7792-1989)
- Philip J. Cozzolino (ORCID: https://orcid.org/0000-0001-9834-4933)
- Robert West (ORCID: https://orcid.org/0000-0002-3984-1232)
Institutions
- Microsoft (United States) (US)
- Microsoft Research New York City (United States)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Communications of the ACM
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1145/3685527
- Citations
- 11
- Primary Topic
- Mobile Crowdsensing and Crowdsourcing
- Type
- article
- Field-Weighted Citation Impact
- 18.63