Publikation
The Economics of Autonomy: Real-Time Risk Indexing for Insurable AI-Driven 6G Systems
Anthony Kiggundu; Michael Zentarra; Christoph Lipps; Hans Dieter Schotten
In: Proceedings of the 2026 IEEE 104th Vehicular Technology Conference (VTC2026-Fall). IEEE Vehicular Technology Conference (VTC-2026), IEEE Vehicular Technology Conference (VTC-2026), located at VTC-2026, September 6-9, Boston, MA, USA, IEEE, 2026.
Zusammenfassung
The transition to sixth-generation (6G) networks
transforms wireless infrastructure into a cognitive substrate
supporting Vehicle-to-Everything (V2X), Industrial IoT (IIoT),
and Integrated Sensing and Communication (ISAC). In this
paradigm, autonomous agentic AI performs orchestration at
millisecond scales, rendering traditional static governance frame-
works fundamentally inadequate for risk management. This
paper introduces GIRAF(Governance-Integrated Risk and As-
surance Framework), a Governance-as-Code (GaC) framework
for real-time risk quantification and trust modulation in agentic
6G systems. GIRAF derives a continuous Aggregate Risk Index
(Rt) from machine-readable runtime signals, including epistemic
confidence, network jitter, and verification latency.
A core contribution is the formalization of the verifica-
tion–staleness trade-off, where safety mechanisms induce risk
if computational latency exceeds 6G deadlines. We demonstrate
that GIRAF identifies ’Confidence Gaps’—discrepancies between
agent-reported certainty and environmental ground-truth, trig-
gering automated safety envelopes when conditions deteriorate.
Crucially, GIRAF serves as the foundational governance ground-
work and conceptual ’glue’ that externalizes these technical risks
into machine-readable telemetry. Through simulations with fine-
tuned LLMs, we validate that the framework preserves opera-
tional integrity while providing the essential actuarial baseline
required for multi-stakeholder liability attribution and dynamic
premium quantification in the 6G ecosystem.