Framework S.H.A.D.E. (Shadow AI)

S.H.A.D.E. is a privacy-first, local-only scorecard to assess Shadow AI maturity: Savoir, Harmoniser, Anticiper, Définir, Eduquer.

• Author: Fabrice Willot
• Website: https://fabrice.willot.be/
• Page: https://fabrice.willot.be/framework-shadowai/

What’s in this repo

• docs/index.html — the local-only interactive tool (stores data in your browser localStorage)
• docs/about.html — explanation / licensing / warnings / contribution info
• docs/assets/ — minimal shared styling

Privacy-first (local only)

No tracking, no analytics, no account.
Data stays on the user’s device (localStorage). Export/Import is done with local files.

Licenses

• Code: MIT — see LICENSE
• Content / method / wording: CC BY 4.0 — see LICENSE-CONTENT

Run locally

Open docs/index.html in your browser.

Tip: for clipboard API to work everywhere, serve locally (optional): python -m http.server then open http://localhost:8000/docs/

GitHub Pages

If you enable GitHub Pages, point it to /docs.

Citation

If you use the SHADE Framework in your work, please cite:

Willot, F. (2026). SHADE Framework: A Holistic Methodology for Shadow AI Governance (Version 1.0). Zenodo.
https://doi.org/10.5281/zenodo.18220695