715 citations · 731 across the 4 of their papers we have counts for
4 papers
Arti-"fickle" Intelligence: Using LLMs as a Tool for Inference in the Political and Social Sciences
Lisa P. Argyle, Ethan C. Busby, Joshua R. Gubler +3
Generative large language models (LLMs) are incredibly useful, versatile, and promising tools. However, they will be of most use to political and social science researchers when th…
How will advanced AI systems impact democracy?
Christopher Summerfield, Lisa Argyle, Michiel Bakker +20
Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intellige…
AI Chat Assistants can Improve Conversations about Divisive Topics
Lisa P. Argyle, Ethan Busby, Joshua Gubler +4
A rapidly increasing amount of human conversation occurs online. But divisiveness and conflict can fester in text-based interactions on social media platforms, in messaging apps, a…
Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda +3
We propose and explore the possibility that language models can be studied as effective proxies for specific human sub-populations in social science research. Practical and researc…