Live at: shouldidisclose.ai
A free decision tool and framework that helps podcast creators decide when to label their episodes as AI-generated. Built by studying what every major platform and regulatory body requires. Designed for podcasters who want a straight answer, not a legal essay.
The whole point of shouldidisclose.ai is transparency about AI in podcasting. So the website itself is public: every edit to the framework, the quiz logic, and the copy is tracked in this repository and open to inspection. If a rule changes, you can see when, why, and what it used to say.
The framework is built around one principle: disclose when AI is doing the creative work your listeners came for.
- AI as performer (delivering the content) = disclose
- AI as production tool (supporting human creative work) = no disclosure
Binary disclosure, yes or no, like the explicit tag. No percentage thresholds.
The interactive tool asks a few questions about your episode and gives you a clear recommendation. The full framework explains the reasoning, with a cross-platform comparison of what Apple Podcasts, YouTube, Spotify, Meta, the EU AI Act, and others require.
Transparency is the subject of the site, so it has to be the method too. Anyone can:
- Read the exact logic behind each quiz path and recommendation.
- Review every change to the framework as it evolves.
- Open an issue or pull request if a rule seems off, a source is outdated, or a platform policy has shifted.
- Fork it and adapt the framework for their own needs (CC BY 4.0).
No tracking beyond anonymous hit counts (GoatCounter). No build step, no external dependencies.
Two self-contained HTML files (inline CSS/JS, no build step, no external dependencies). Deployed via GitHub Pages.
This framework is offered as a public resource for the podcasting community. It is not legal advice. Each platform has its own AI disclosure policies, and those policies may change. Always check the specific requirements of the platforms where you distribute your podcast.
Created by Alberto Betella, PhD, co-founder of RSS.com.