Behaviour modeling, verification, and autonomous actions and triggers of ML and AI systems

This invention describes a computer method to understand, predict, and check the behavior of AI and machine learning systems, especially explainable AI models. It works by setting up specific conditions within the AI's operational steps to monitor how likely certain outcomes are and to ensure the system stays within safe or desired boundaries. It also allows for setting and verifying rules on the AI's internal workings or its final results.

Why it matters: Since 2021, the widespread deployment of complex AI, especially large language models, has dramatically increased the urgency for robust AI safety, explainability, and verification methods. This invention directly addresses these heightened concerns by providing tools to monitor and control AI behavior.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, AI/ML expertise

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