The Concerns of AI Infiltrating Crowdsourced Work

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A recent study by Swiss university EPFL has revealed that a significant proportion of crowd workers on Amazon’s Mechanical Turk service may have cheated when performing certain tasks that required humans instead of robots. The research suggests that anywhere between 33% and 46% of these workers used AI tools such as ChatGPT to complete assigned tasks. Amazon’s Mechanical Turk has traditionally been a go-to service for developers seeking human assistance with tasks that require human analysis or expertise. However, the prevalence of AI tools being used to complete tasks could undermine the confidence in the quality of data that is generated. For machine learning models, it is challenging to distinguish the origin of data between generated text and human-generated text. Crowdsourced workers were given a task where they had to summarize research abstracts from the New England Journal of Medicine into 100-word summaries. The researchers were able to distinguish between machine-generated and human-generated text using this methodology. This type of task is something that generative AI tools like ChatGPT are good at, and this could mean that the use of Mechanical Turk may be under threat.

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Frequently Asked Questions (FAQs) Related to the Above News

What is the recent study about?

The recent study by Swiss university EPFL is about the use of AI tools by crowd workers on Amazon's Mechanical Turk service to complete tasks that require human analysis or expertise.

What percentage of workers on Mechanical Turk used AI tools?

The research suggests that anywhere between 33% and 46% of these workers used AI tools such as ChatGPT to complete assigned tasks.

What is the potential impact of AI tools being used to complete tasks on Mechanical Turk?

The prevalence of AI tools being used to complete tasks could undermine the confidence in the quality of data that is generated. It is challenging to distinguish the origin of data between generated text and human-generated text.

How were the researchers able to distinguish between machine-generated and human-generated text?

The crowdsourced workers were given a task where they had to summarize research abstracts from the New England Journal of Medicine into 100-word summaries. The researchers were able to distinguish between machine-generated and human-generated text using this methodology.

Why is the use of Mechanical Turk under threat?

Generative AI tools like ChatGPT are good at tasks like summarizing research abstracts, which is exactly what the workers on Mechanical Turk were tasked with. This could mean that Mechanical Turk may be under threat as AI infiltrates crowdsourced work.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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