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Brian Jabarian on Muck Rack

Brian Jabarian

As seen in: Nature, arXiv, National Bureau of Economic Research, UChicago Economics Events and Conversations
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Articles

Computer Science > Artificial Intelligence

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By Supriti Vijay, Brian Jabarian, Niloofar Mireshghallah
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Artificial Writing and Automated Detection

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By Abby Hiller, Brian Jabarian, Alex Imas
| UChicago Economics Events and Conversations
Generative Artificial Intelligence tools have been adopted faster than any other technology on record, giving rise to writing that is either assisted or entirely completed by Large Language Models (LLMs). The ubiquity of AI-generated writing across domains such as school assignments and consumer reviews presents a new challenge to stakeholders aiming to detect whether content was written by humans.
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Artificial Writing and Automated Detection

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By Brian Jabarian, Alex Imas
| National Bureau of Economic Research
We thank Kevin Bryan for helpful feedback. Ziyue Feng and Andrew James provided excellent research assistance. All remaining errors are our own. Brian Jabarian gratefully acknowledges funding support from the University of Chicago Booth Center for Applied Artificial Intelligence, the Becker-Friedman Institute Program in Behavioral Economics Research and the Google Cloud Research Program. Disclosure.
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