How InferTrust™ creates verifiable decision records for AI decisions in Vehicle-to-Everything (V2X) connected vehicle environments.
Vehicle-to-Everything (V2X) communication enables vehicles to exchange data with other vehicles (V2V), infrastructure (V2I), pedestrians (V2P), and network services (V2N). When AI systems use V2X data to make driving decisions, the decision integrity challenge expands beyond the single vehicle to encompass the entire connected ecosystem.
InferTrust™ (Patent Pending) captures the complete context of V2X-informed decisions: which V2X messages were received, from which sources, with what confidence levels, and how the AI integrated this external data with onboard sensor data to produce its decision. The Input Feature Hash covers both onboard and V2X inputs, providing a complete fingerprint of the data the AI evaluated.
V2X environments introduce trust challenges: how does the vehicle know the infrastructure data is authentic? When InferTrust™ records a decision that incorporated V2X inputs, the record includes the source identifiers and trust indicators for each V2X message. This creates an auditable chain that links the driving decision back to the specific V2X communications that informed it.
If an AI driving decision was influenced by incorrect or malicious V2X data from a roadside unit, InferTrust™ records provide the evidence to trace the decision back to the specific V2X input. This supports liability determination and infrastructure accountability in connected vehicle deployments.