NeuralNet DAO
  • NeuralNet DAO Whitepaper🚀
    • Introduction & Vision
    • Mission & Objectives
    • Problems to Solve
  • Technical Architecture ⚙️
    • Blockchain Infrastructure
    • Consensus Mechanism
    • Key Technological Innovations
    • Ecosystem Architecture
  • Core Features & Products ⚡
    • Key Use Cases
    • How Users Interact with the Platform
    • Developer Support & Integration
  • Governance Mechanism 🏛️
    • Decentralized Governance Model
    • Ecosystem Governance Framework
    • Sustainable Ecosystem Governance
  • Token Economy Model 💰
    • Token Utility
    • Economic Incentive Mechanism
    • Token Distribution Plan
  • Roadmap & Development Plan 🛣️
  • Future Plans & Vision🚀
  • Legal Compliance & Regulatory Considerations ⚖️
    • Regulatory Framework
    • Legal Risks & Mitigation Strategies
  • About Us📌
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  1. Governance Mechanism 🏛️

Ecosystem Governance Framework

NeuralNet DAO's governance framework consists of multiple layers to balance efficiency, decentralization, and scalability.

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Last updated 1 month ago

1️⃣ DAO Governance Structure

  • Governance Council: A decentralized group of elected members responsible for managing governance proposals and ensuring fair execution.

  • Working Groups: Specialized committees focusing on AI model verification, data security, developer support, and economic policies.

  • Community Voting: NND token holders participate in on-chain voting for decisions related to AI project funding, research directions, and ecosystem rules.

2️⃣ Proposal & Voting System

  • Proposal Creation: Any NND token holder can submit proposals for AI model funding, computational resource distribution, or ecosystem improvements.

  • Voting Mechanism:

    • Quadratic Voting: Ensures governance power is distributed fairly among token holders, preventing centralization.

    • Staked Voting: Users who stake more tokens have a higher weight in governance decisions but within fair voting limits.

    • Delegated Voting: Participants can delegate their votes to expert AI researchers or trusted community representatives.

3️⃣ Smart Contract Governance Execution

  • Automated Fund Allocation: Treasury funds for AI development, research, and computational resources are managed and distributed via governance smart contracts.

  • AI Model Verification & Audits: Governance mechanisms ensure that AI models are verified by the community before being deployed.

  • Adaptive Governance: AI-driven governance analytics optimize community participation and decision-making efficiency over time.