Clustering, explainability, and automated decisions in computer-based reasoning systems

A computer system takes information and suggests an action, like what to do next. It also provides reasons for its suggestion, such as showing similar past situations or explaining how different factors influenced the decision. The system can also check if the suggested action fits well with a related group of actions by looking up known compatibilities or incompatibilities.

Why it matters: Filed when Explainable AI (XAI) was emerging, the field has since developed more robust frameworks and tools for generating the detailed explanations described. The rise of powerful AI models and increased regulatory interest in AI transparency make implementing such a system more feasible and desirable today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, explainable AI

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10