This document outlines integrity heuristics for maintaining provenance in AI-generated content, including drift detection, missing declaration nudges, and review prioritization.
This document outlines the guarantees and non-guarantees of AILint, including aspects like declaration fidelity, interpretation stability, and limitations on authorship and detection accuracy.
This document outlines the AILint Marker Specification, detailing the purpose, design principles, types of markers, payload rules, precedence, loss considerations, and security aspects.
This document outlines the AILint Provenance Specification, detailing the purpose, scope, core principles, required and optional fields for provenance statements, transport mechanisms, and validity requirements.
Added a comprehensive CONTRIBUTING.md file to guide contributors on how to participate in the AILint project, including setup instructions, contribution guidelines, and development standards.
This document provides guidelines for collaborating with Claude on the AILint project, emphasizing privacy, detection methodologies, and the importance of standards in AI-assisted development.
