HumanChain: Infrastructure for AI Safety
Last updated
Last updated
Infrastructure for AI safety will act as an enabler to build a safe, trustworthy and human-centric digital world.
We propose a solution to the AI safety problem using a tiered approach to verify identity and each tier unlocks different data rights for humans.
An AI safety infrastructure is incomplete without a data layer. A soulbound hybrid self-sovereign identity linked to the legal identity provides the building block to stack the data layer on top of it and enable fulfilment of legal and regulatory requirements.
The infra collects data based on user consent in a compliant manner, respecting their privacy and protects it with post-quantum safe cryptography.
Data providers and Data consumers exchange data through $HUC utility tokens enabling liquidity thus making data a truly liquid asset class.
Developers can train, fine-tune AI models or build applications on top of the application layer without having to worry about Bots vs Humans, KYC, Data Compliance & Quality, copyright issues and striking an equilibrium between personalised user experience vs data privacy.