llm-lobbyist

Overview

This repository contains the code and experiments for the 2023 paper 'Large Language Models as Corporate Lobbyists'. It implements a framework that uses LLMs to simulate lobbying strategies and policy influence. The project is implemented in Jupyter Notebooks and is intended for research reproducibility.

Best for

Best for
Researchers studying AI ethics, computational social science, or the intersection of LLMs and policy influence

Use cases

• Reproducing the paper's lobbying simulation experiments
• Exploring how LLMs can generate persuasive policy arguments
• Studying the ethical implications of AI-driven lobbying

Notes

This repository contains the code and experiments for the 2023 paper ‘Large Language Models as Corporate Lobbyists’. It implements a framework that uses LLMs to simulate lobbying strategies and policy influence. The project is implemented in Jupyter Notebooks and is intended for research reproducibility.

174 stars on GitHub. Last updated 2023-01-13.

Use cases

• Reproducing the paper’s lobbying simulation experiments
• Exploring how LLMs can generate persuasive policy arguments
• Studying the ethical implications of AI-driven lobbying

Pros

• Open source and fully reproducible research code
• Novel application of LLMs to a real-world policy domain
• Well-documented with the accompanying paper

Cons

• Not designed for production or real-world deployment
• Requires familiarity with the paper and its methodology
• Limited to the specific lobbying scenario described in the paper

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