Cryptographic Trust Cards for In-Vehicle Autonomous Assistants

A2HumanCard establishes a formal trust protocol between human passengers and autonomous vehicle agents: proving agent identity, declaring safety capabilities, and capturing explicit biometric consent for high-impact vehicular actions.

Establishing Mathematical Trust Before Delegating Vehicle Control

Passengers cannot trust black-box AI models that offer no accountability. A2HumanCard generates cryptographically signed capability manifests, demonstrating that the in-cabin assistant has been verified by the OEM and operates within audited functional safety limits.

Core Engineering Areas

• W3C DID Agent Identity — Binding each onboard agent micro-service to a unique W3C DID anchored in the vehicle's hardware security module.
• Dynamic Biometric Consent Gates — Requiring simultaneous voice biometric recognition and confirmed gaze fixation before agents can execute financial or physical vehicle modifications.
• Immutable Action Audit Trails — Logging every agent suggestion, human consent decision, and subsequent actuator outcome into a tamper-evident Merkle tree stored in secure flash.

Technical Articles

• Allocating Legal Liability in Software-Defined Vehicles with Autonomous Agents
• Hardening In-Cabin Voice Biometrics Against Acoustic Replay Attacks

Related Cluster Architecture Specifications

• AutomotiveSDV — Full SDV Stack & Reference Architecture
• A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
• AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors
• AutomobileAgentic — Autonomous In-Vehicle Agentic AI & Deterministic Edge Execution