Energy Social Surveys Replicated with Large Language Model Agents

20 Pages Posted: 17 Jan 2024 Last revised: 22 Jan 2024

See all articles by Michael J. Fell

Michael J. Fell

University College London - UCL Energy Institute

Date Written: January 6, 2024

Abstract

Large Language Models (LLMs) are artificial intelligence systems trained to understand and predict human language. In this study I programmatically create numerous LLM agents with population-representative characteristics, and prompt them provide survey responses with the aim of replicating existing energy social survey findings. Three studies are replicated, yielding moderate to high degrees of fidelity to the original results. Potentially significant contributions of the approach include improving the efficiency of research by identifying most promising interventions before conducting human studies, and simulating input from harder-to-access populations. However, there are also important practical and ethical challenges requiring of careful consideration.

Keywords: Large language models, artificial intelligence, energy, social surveys, replication

Suggested Citation

Fell, Michael, Energy Social Surveys Replicated with Large Language Model Agents (January 6, 2024). Available at SSRN: https://ssrn.com/abstract=4686345 or http://dx.doi.org/10.2139/ssrn.4686345

Michael Fell (Contact Author)

University College London - UCL Energy Institute

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