Systems and methods for monitoring aircraft control systems using artificial intelligence

This invention describes a safety system for vehicles controlled by artificial intelligence. It uses a primary AI brain to steer the vehicle based on sensor readings, and a second, "inverse" AI brain that tries to reverse-engineer the primary AI's commands back into what the sensors *should* be reading. A monitor then compares these predicted sensor readings with the actual ones, flagging discrepancies to ensure the primary AI is operating correctly or has been properly trained for the current situation.

Why it matters: Filed in 2019, this system predates the significant advancements in AI model robustness, explainability, and real-time inference capabilities seen in recent years. The computational power and specialized hardware required for deploying and monitoring complex neural networks in safety-critical applications like vehicle control have become more accessible and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, real-time vehicle control hardware

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