AI Interaction Transparency Snippets
May 23, 2026 · View on GitHub
AI Interaction Transparency Snippets is a small collection of user-facing copy examples for product teams that need plain-language notices around AI chat, AI assistance, or synthetic media labels.
This public repo is a validation surface for the snippet format and its safety boundaries. It is intentionally narrow: synthetic examples only, static files, no accounts, no runtime service, no tracking, no paid offer, and no data intake.
What is included
snippets/chatbot-first-interaction.md— first-message notice examples for AI assistants.snippets/synthetic-content-labels.md— short labels for AI-generated or AI-edited public content.snippets/human-review-notes.md— copy patterns for showing when a human review step exists.sample-data/transparency-notices.yaml— structured synthetic notice examples.sources.md— source-traced context used to shape the examples.docs/index.html— static no-data/no-payment landing page.
Boundaries
- Synthetic examples only.
- No real customer, company, user, or product data.
- No payment, invoice, refund, support, or money flow.
- No forms, uploads, tracking, cookies, storage, analytics, or runtime network calls.
- Not legal, tax, compliance, procurement, security, certification, or regulatory advice.
- No claim that these snippets satisfy Article 50, the EU AI Act, or any other legal duty.
- No guaranteed outcomes.
- A passing validator is only a local copy-safety signal; it is not approval to publish, send, certify, sell, or claim anything.
Run locally
python3 scripts/validate_public_package.py
python3 -m unittest discover -s tests -v
Validation question
Can a tiny, source-traced, no-claims snippet pack attract external signal from builders who need practical AI transparency wording, without pretending to be a compliance product?
Useful external signals would be stars, forks, issues, pull requests, clone/view traffic, or concrete suggestions about safer snippet wording. There is no paid pilot, lead form, money flow, or service promise here.