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Summary of Large Language Models in Politics and Democracy: a Comprehensive Survey, by Goshi Aoki


Large Language Models in Politics and Democracy: A Comprehensive Survey

by Goshi Aoki

First submitted to arxiv on: 1 Dec 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

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GrooveSquid.com Paper Summaries

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
This research paper surveys the applications of large language models (LLMs) in various political domains, including policymaking, communication, analysis, governance, diplomacy, national security, economic modeling, social modeling, and legal contexts. The study examines both the promises and challenges of LLMs in these areas, highlighting their potential to enhance efficiency, inclusivity, and decision-making in political processes while also raising concerns about bias, transparency, and accountability. To ensure responsible integration of LLMs into politics, the paper emphasizes the need for ethical considerations, governance frameworks, and democratic values.
Low GrooveSquid.com (original content) Low Difficulty Summary
This research looks at how big AI language models can help with politics. It explores their uses in making laws, communicating with people, analyzing data, and governing countries. The study shows both the benefits and challenges of these models in politics. While they might make things more efficient and fair, there are also concerns about them being biased or not transparent. To make sure AI is used wisely in politics, the researchers think we need to be ethical and have good rules in place.

Keywords

» Artificial intelligence