How InferTrust™ decision records support liability determination and insurance claims for autonomous vehicle incidents.
As autonomous vehicles move from testing to commercial deployment, liability determination for incidents becomes a critical business and legal challenge. Was the AV manufacturer responsible? The fleet operator? The sensor supplier? The software vendor? The answer depends on verifiable evidence of what the AI decided and why.
InferTrust™ (Patent Pending) Auto creates a complete, tamper-evident record of every critical AI decision: perception model outputs, planning decisions (AUTONOMOUS_PROCEED, SAFE_DEGRADE, HUMAN_HANDOFF, EMERGENCY_HALT), sensor confidence metrics, active safety policies, and the execution timestamps. Each record is sealed with device-bound keys on the vehicle's compute platform, proving the record was generated at the time and place of the event.
Insurers covering autonomous vehicle fleets need to assess risk based on verifiable operational data. InferTrust™ records provide insurers with independently verifiable evidence of how the AI system performed, what safety policies were active, and whether the system operated within its designed parameters. This data can support more accurate risk assessment and potentially lower premiums for operators who can demonstrate robust AI governance.
When multiple parties share potential liability for an AV incident, InferTrust™ records help allocate responsibility. The Model Version ID proves which software version was active. The policy hash proves which safety configuration was in effect. The device-bound signature proves the record originated from the specific vehicle at the specific time. This precision supports fair liability allocation across manufacturers, operators, and technology providers.