Should AI Control DAOs?

❓Summary

This proposal asks the community to vote on whether artificial intelligence (AI) should be granted governance-level control within DAOs (Decentralized Autonomous Organizations). Specifically, we are exploring the possibility of AI being used to either assist, co-govern, or fully control decision-making processes.

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🧠 Motivation

As DAOs scale, the volume and complexity of proposals increase. Human participants may struggle to keep up, leading to voter fatigue, delayed decisions, or low participation. AI systems—trained on DAO data, governance models, and economic signals—could provide unbiased, data-driven governance at scale.

However, this raises critical questions around: • Trust & transparency in AI decision-making • Accountability for actions taken by AI agents • Potential centralization risks due to model control • Ethical implications of replacing human governance

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🛠 Options Under Consideration

This proposal is a temperature check. It does not implement any AI-based governance but gathers sentiment from the community.

Vote for one of the following: 1. ✅ Yes — Full AI Governance Allow AI agents to control proposal outcomes, treasury management, and protocol upgrades with minimal human intervention. 2. 🤖 Yes — AI-Assisted Governance AI can suggest, summarize, and evaluate proposals, but final votes remain with human token holders. 3. 🧑‍🤝‍🧑 No — Human-Only Governance Keep governance fully human-led. Use AI only for analytics, not decision-making. 4. ❌ No AI Involvement Do not integrate AI into the DAO in any form.