Large Language Models in Politics and Democracy: A Comprehensive Survey
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 33 of its 49 references that are in the map. First posted on arXiv 1 Dec 2024.
Builds on
33 of 49 references.
References · 33
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
- 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
- 2023Large Language Modelscited by 774
- 2023A Comprehensive Overview of Large Language Modelscited by 639
- 2023Towards Measuring the Representation of Subjective Global Opinions in Language Modelscited by 424
- 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 300
- 2023War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Warscited by 143
- 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agentscited by 120
- 2024Collective Constitutional AI: Aligning a Language Model with Public Inputcited by 120
- 2023LawBench: Benchmarking Legal Knowledge of Large Language Modelscited by 111
- 2023Humanoid Agents: Platform for Simulating Human-like Generative Agentscited by 73
21 more
- 2024Escalation Risks from Language Models in Military and Diplomatic Decision-Makingcited by 61
- 2024(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advicecited by 61
- 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domaincited by 39
- 2024ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agentscited by 35
- 2023A Comprehensive Evaluation of Large Language Models on Legal Judgment Predictioncited by 27
- 2023Simulating Public Administration Crisis: A Novel Generative Agent-Based Simulation System to Lower Technology Barriers in Social Science Researchcited by 21
- 2024BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysiscited by 20
- 2024On Large Language Models in National Security Applicationscited by 18
- 2024Plurals: A System for Guiding LLMs Via Simulated Social Ensemblescited by 17
- 2023Demonstrations of the Potential of AI-based Political Issue Pollingcited by 14
- 2023Large Language Models as Corporate Lobbyistscited by 13
- 2023Positioning Political Texts with Large Language Models by Asking and Averagingcited by 13
- 2024Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seekingcited by 13
- 2023Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Datacited by 11
- 2024Representation Bias in Political Sample Simulations with Large Language Modelscited by 10
- 2023From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviewscited by 8
- 2024PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberationcited by 8
- 2024Policy Prototyping for LLMs: Pluralistic Alignment via Interactive and Collaborative Policymakingcited by 6
- 2015Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologiescited by 4
- 2024AI Language Models Could Both Help and Harm Equity in Marine Policymaking: The Case Study of the BBNJ Question-Answering Botcited by 3
- 2023The Role of Generative AI in Global Diplomatic Practices: A Strategic Frameworkcited by 1
Built on by
Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMscited by 2
- 2026Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experimentcited by 2
- 2025BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation formatcited by 1
- 2026The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultationscited by 0
- 2026Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflictscited by 0
- 2026Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts6 Aug 2026
- 2026Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment20 May 2026
- 2026The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations21 Jan 2026
- 2025BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format2 Sep 2025
- 2025A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs16 Jun 2025