Large Language Models in Politics and Democracy: A Comprehensive Survey

TL;DR

This survey explores how large language models are transforming politics and democracy by enhancing processes like policymaking and communication, while also addressing challenges such as bias and transparency to ensure responsible use.

Contribution

It provides a comprehensive overview of recent and potential applications of LLMs in political domains, highlighting opportunities and challenges for democratic processes.

Findings

LLMs can improve political communication and analysis.

Challenges include bias, transparency, and accountability.

Responsible development is essential for democratic alignment.

Abstract

The advancement of generative AI, particularly large language models (LLMs), has a significant impact on politics and democracy, offering potential across various domains, including policymaking, political communication, analysis, and governance. This paper surveys the recent and potential applications of LLMs in politics, examining both their promises and the associated challenges. This paper examines the ways in which LLMs are being employed in legislative processes, political communication, and political analysis. Moreover, we investigate the potential of LLMs in diplomatic and national security contexts, economic and social modeling, and legal applications. While LLMs offer opportunities to enhance efficiency, inclusivity, and decision-making in political processes, they also present challenges related to bias, transparency, and accountability. The paper underscores the necessity for responsible development, ethical considerations, and governance frameworks to ensure that the integration of LLMs into politics aligns with democratic values and promotes a more just and equitable society.