ShareFlaw – Public reliability index for AI systems

Summary: ShareFlaw provides a public accountability layer for AI systems by aggregating user-reported failures, automatically scoring severity, clustering systemic errors, and enabling company responses with tamper-proof certification. It tracks AI stability and responsiveness to create a structured reliability index.

What it does

ShareFlaw collects AI failure reports, classifies their severity, groups similar errors into systemic patterns, and allows companies to respond publicly. Each report is digitally certified to prevent tampering.

Who it's for

It is designed for users and organizations seeking transparent, verifiable insights into AI system reliability and performance.

Why it matters

ShareFlaw addresses the lack of public accountability and transparency in AI system performance by providing a structured, trustable reliability index.