LSAS (Layered Safety and Accuracy System) — Technical specification and whitepaper for governed Generative AI outputs in regulated healthcare and medtech environments.
This repository contains the formal specification, schemas, examples, and technical whitepaper for LSAS, a framework designed to ensure safety, accuracy, and compliance for AI-generated content in regulated industries.
Preferred citation is via the DOI (Zenodo) and the metadata in CITATION.cff.
- DOI: (use the Zenodo DOI shown on your record)
- GitHub Releases: https://github.com/reactlabs-dev/lsas-spec/releases
lsas-spec/
├── paper/ # Technical whitepaper and related documents
├── schemas/ # JSON schemas and specification files
├── examples/ # Example implementations and use cases
├── diagrams/ # Diagrams (Mermaid sources and/or exports)
├── NOTICE # Attribution notice (Apache-style)
├── TRADEMARK.md # Naming guidance for “LSAS Framework”
├── CITATION.cff # Citation metadata for academic use
├── CHANGELOG.md # Version history and release notes
├── CONTRIBUTING.md # Contribution guidelines
├── CODE_OF_CONDUCT.md # Community code of conduct
└── LICENSE # Apache 2.0 License
- Review the technical specification in the
/paperdirectory - Examine the schemas in
/schemasto understand data structures - Check
/examplesfor reference implementations - Follow the implementation guidelines in the specification
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
We use Semantic Versioning for this specification. For available versions, see the releases page.
If you use this specification in your research or implementation, please cite it using the metadata in CITATION.cff.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
“LSAS” (Layered Safety and Accuracy System) and the term “LSAS Framework” were coined by Matt Vegas.
- See NOTICE for attribution text
- See TRADEMARK.md for naming guidance
For questions, issues, or contributions, please use the GitHub issue tracker or refer to CONTRIBUTING.md.
LSAS was developed to address the critical need for governed AI systems in regulated healthcare and medtech environments.