Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks¶
Arxiv Link - 2023-06-13 16:46:24
Abstract¶
Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the widespread adoption of LLMs, human gold--standard annotations are key to understanding the capabilities of LLMs and the validity of their results. However, crowdsourcing, an important, inexpensive way to obtain human annotations, may itself be impacted by LLMs, as crowd workers have financial incentives to use LLMs to increase their productivity and income. To investigate this concern, we conducted a case study on the prevalence of LLM usage by crowd workers. We reran an abstract summarization task from the literature on Amazon Mechanical Turk and, through a combination of keystroke detection and synthetic text classification, estimate that 33-46% of crowd workers used LLMs when completing the task. Although generalization to other, less LLM-friendly tasks is unclear, our results call for platforms, researchers, and crowd workers to find new ways to ensure that human data remain human, perhaps using the methodology proposed here as a stepping stone. Code/data: https://github.com/epfl-dlab/GPTurk
Socials¶
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| 🚀 Exciting findings in the world of AI and crowdsourcing! A recent study delves into the impact of Large Language Models (LLMs) on crowd workers. Research suggests that 33-46% of crowd workers used LLMs to complete tasks, raising important questions about the integrity of human-generated data. Check out the full study and methodology here: http://arxiv.org/abs/2306.07899v1 #AI #NLP #LLMs #Crowdsourcing #Research #Tech #Innovation |
🚀 Investigating the impact of Large Language Models (LLMs) on crowd workers! A recent study found that 33-46% of crowd workers used LLMs for an abstract summarization task. How can we ensure human data remain human in the age of AI? Find out more: http://arxiv.org/abs/2306.07899v1 #AI #LLMs #Research #TechEthics |