Large Language Models in Politics and Democracy: A Comprehensive Survey
It provides a comprehensive overview for researchers and policymakers on how LLMs can impact political processes, though it is incremental as a survey without new empirical results.
This paper surveys the applications of large language models (LLMs) in politics and democracy, highlighting their potential to enhance efficiency, inclusivity, and decision-making in areas like policymaking and communication, while also addressing challenges such as bias and transparency.
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.