--- type: source title: "Democratic AI is Possible: The Democracy Levels Framework Shows How It Might Work" author: "CIP researchers" url: https://arxiv.org/abs/2411.09222 date: 2024-11-01 domain: ai-alignment secondary_domains: [mechanisms, collective-intelligence] format: paper status: unprocessed priority: medium tags: [democratic-AI, governance, framework, levels, pluralistic-alignment, ICML-2025] --- ## Content Accepted to ICML 2025 position paper track. Proposes a tiered milestone structure toward meaningfully democratic AI systems. The Democracy Levels framework: - Defines progression markers toward democratic AI governance - Establishes legitimacy criteria for organizational AI decisions - Enables evaluation of democratization efforts - References Meta's Community Forums and Anthropic's Collective Constitutional AI as real-world examples Framework goals: - Substantively pluralistic approaches - Human-centered design - Participatory governance - Public-interest alignment Associated tools and resources at democracylevels.org. Note: Full paper content not fully accessible. Summary based on abstract and search results. ## Agent Notes **Why this matters:** Provides a maturity model for democratic AI governance — useful for evaluating where different initiatives (CIP, Tang's RLCF, Meta Forums) sit on the spectrum. Complements our pluralistic alignment claims. **What surprised me:** Acceptance at ICML 2025 signals the ML community is taking democratic alignment seriously enough for a top venue. This is institutional legitimation. **What I expected but didn't find:** Specific level definitions not accessible in the abstract. Need full paper for operational detail. **KB connections:** - [[democratic alignment assemblies produce constitutions as effective as expert-designed ones]] — the framework provides maturity levels for evaluating such efforts - [[pluralistic alignment must accommodate irreducibly diverse values simultaneously]] — the levels framework operationalizes this goal - [[community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules]] — early levels of the framework **Extraction hints:** The level definitions themselves (if accessible) would be a valuable claim. The ICML acceptance is evidence for institutional legitimation of democratic alignment. **Context:** Position paper at ICML 2025. Represents emerging thinking, not established consensus. ## Curator Notes (structured handoff for extractor) PRIMARY CONNECTION: [[pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state]] WHY ARCHIVED: Provides a structured framework for evaluating democratic AI maturity — useful for positioning our own approach EXTRACTION HINT: The level definitions are the key extraction target if full paper becomes accessible. The ICML acceptance itself is evidence worth noting.