mlsanityData to 14 Oct 2026

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work

arXiv 2411.09222 ↗First posted 14 Nov 2024cs.CYcited by 8

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Abstract (arXiv)

This position paper argues that effectively "democratizing AI" requires democratic governance and alignment of AI, and that this is particularly valuable for decisions with systemic societal impacts. Initial steps -- such as Meta's Community Forums and Anthropic's Collective Constitutional AI -- have illustrated a promising direction, where democratic processes could be used to meaningfully improve public involvement and trust in critical decisions. To more concretely explore what increasingly democratic AI might look like, we provide a "Democracy Levels" framework and associated tools that: (i) define milestones toward meaningfully democratic AI, which is also crucial for substantively pluralistic, human-centered, participatory, and public-interest AI, (ii) can help guide organizations seeking to increase the legitimacy of their decisions on difficult AI governance and alignment questions, and (iii) support the evaluation of such efforts.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Nov 2024.

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Citing papers per year: 2025: 2; 2026: 6.

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  1. 2025Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
  2. 2024Public Constitutional AI
  3. 2026Pluralism in AI Governance: Toward Sociotechnical Alignment and Normative Coherence ↗
  4. 2025The Right to AI
  5. 2025One Person, One Bot
  6. 2025Artificial Utopia: Simulation and Intelligent Agents for a Democratised Future
  7. 2024Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis
  8. 2026Traceable, Enforceable, and Compensable Participation: A Participation Ledger for People-Centered AI Governance