Whitepaper
  • Overview
    • HumanChain: Infrastructure for AI Safety
  • Fundamentals
    • 1. Introduction to the landscape
    • 2. HumanChain
      • 2.1 Identity Layer incumbents in AI Safety space
      • 2.2 Human ID
      • 2.3 Data Layer
      • 2.4 Security Layer
      • 2.5 Global value exchange layer
    • 3. Applications
      • 3.1 ZK Data Rooms to train AI models
      • 3.2 Federated fine-tuning of AI models
      • 3.3 AI Avatars or Persona Likeness
      • 3.4 Bot vs Humans
      • 3.5 Deepfake Detection
      • 3.6 LLM Wrappers
      • 3.7 Personal AI assistants
      • 3.8 Regulatory Compliance
      • 3.9 KYC (Know Your Customer)
      • 3.10 Data Marketplace
      • 3.11 Creative Surge: Artists and NFTs
      • 3.12 On-chain decentralized marketplaces
      • 3.13 Review or Reputation systems
      • 3.14 Matchmaking platforms
      • 3.15 Sales Prospecting and Marketing
      • 3.16 HumanChain App
    • 4. Limitations
  • ---
    • 5. Reference
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  1. Fundamentals

2. HumanChain

We hypothesize a solution to build a safe, trustworthy and human-centric digital world that will enable data rights, protection, and privacy. It is made up of the following layers:

  1. A secure and privacy-preserving identity layer

  2. A data layer controlled by users

  3. A post-quantum safe security layer

  4. A global value exchange layer

  5. An application layer

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Last updated 6 months ago