The Economics of Autonomy: A GIRAF Real-Time Risk Index Framework for Insurable AI-Driven 6G Systems
The Economics of Autonomy: Real-Time Risk Indexing for Insurable AI-Driven 6G Systems
AI summary
GIRAF is a governance-as-code framework that computes an aggregated risk index in real time for AI-driven 6G systems using runtime signals. It formally verifies the staleness trade-off: when computation latency exceeds the 6G deadline, the safety mechanism itself introduces risk; and it identifies the gap between agent self-reported confidence and environmental ground truth, triggering an automatic safety envelope. Simulations based on a fine-tuned LLM show that the framework can maintain operational integrity and provide an actuarial baseline for multi-party responsibility attribution and dynamic premium quantification.