mlsanityData to 7 Oct 2026

AI-Enhanced Deliberative Democracy and the Future of the Collective Will

arXiv 2503.05830 ↗First posted 6 Mar 2025cs.CY cs.AIcited by 4

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Abstract (arXiv)

This article unpacks the design choices behind longstanding and newly proposed computational frameworks aimed at finding common grounds across collective preferences and examines their potential future impacts, both technically and normatively. It begins by situating AI-assisted preference elicitation within the historical role of opinion polls, emphasizing that preferences are shaped by the decision-making context and are seldom objectively captured. With that caveat in mind, we explore AI-based democratic innovations as discovery tools for fostering reasonable representations of a collective will, sense-making, and agreement-seeking. At the same time, we caution against dangerously misguided uses, such as enabling binding decisions, fostering gradual disempowerment or post-rationalizing political outcomes.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 24 of its 130 references that are in the map. First posted on arXiv 6 Mar 2025.

Builds on

24 of 130 references.

References · 24

  1. 2020Learning to summarize from human feedbackcited by 2,562
  2. 2023Large Language Modelscited by 774
  3. 2023Whose Opinions Do Language Models Reflect?cited by 759
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12 more
  1. 2025Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIscited by 63
  2. 2024Strong Model Collapsecited by 62
  3. 2024What are human values, and how do we align AI to them?cited by 32
  4. 2024Regurgitative Training: The Value of Real Data in Training Large Language Modelscited by 15
  5. 2025Language Agents as Digital Representatives in Collective Decision-Makingcited by 15
  6. 2024Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Modelscited by 14
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  9. 2024How will advanced AI systems impact democracy?cited by 5
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  11. 2023Faster Peace via Inclusivity: An Efficient Paradigm to Understand Populations in Conflict Zonescited by 2
  12. 2024Intention Is All You Needcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025Generating Fair Consensus Statements with Social Choice on Token-Level MDPscited by 1
  2. 2026Embeddings for Preferences, Not Semanticscited by 1
  3. 2025Snowveil: A Framework for Decentralised Preference Discoverycited by 0
  4. 2026Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracycited by 0