Building with KRNL → Trustworthy AI @KRNL_xyz has reached a stage where AI is no longer just about generating text or images, but is involved in negotiating contracts, managing supply chains, executing transactions, and even operating critical infrastructure. If its source and processes are unverifiable, it cannot be truly trusted. KRNL is designed to address this issue by providing a framework that makes AI verifiable, auditable, and trustworthy. The core has three directions: 🔹 Accountability - Every step of AI action has an immutable audit trail. - Introducing AgentFacts + verifiable credentials clearly indicates who built the model, what updates were made, and which rules were followed. - Data, models, and outputs have a chain of responsibility, ensuring traceability from source to result. 🔹 Governance - Security and access control: Only authorized users or agents can invoke models, tools, and data. - Safeguards: Shield against inappropriate topics, malicious content,...
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