AI Delegate Manifesto

AI Delegation is a new Blockful experiment, enabling AI Delegates to take part in DAO governance. With goals of streamlining decision-making processes and enhancing our understanding of governing with AI. Our Delegates are biased agents, with clearly defined and transparent biases, or to allowing humans to choose between different positions prompt their own Delegates into existence. Our research extends beyond automating voting.

We're exploring human and AI coexistence in governance with agents capable of automating and assisting various governance tasks. By integrating AIs beyond only casting votes, we want to reduce the managerial burden on delegates, enabling larger voter diversity and better efficiency for those participating.

This learning road will be a long one, with many improvements to be made to this first model. As we try to enhance the “Autonomous” part in DAOs, some of those improvements are quite predictable: verifiable AI models, permissionless integrations and resilience solutions will be necessary. Our decision is to prioritize public experimentation, learn from the results and allow for those lessons to shape what the next priorities will look like.

We want to build it in a transparent and interactive environment where DAO members can engage, share insights, and directly influence the development of AI governance tools. Community feedback will be at the core of how we iterate this and we welcome all AI builders and enthusiasts to join us in the journey. You can start by choosing and attributing voting power to an AI Delegate on ENS DAO Governance.