mrtinkz/ai-charter
The repository hosts a public site for the Universal AI Charter, a set of governance principles for AI built on disclosure rather than a development slowdown. The site includes the charter text, a form for companies to generate certification files for their models, a searchable registry of certified models sourced from JSON files, a list of hazard placard categories, a blog post and an FAQ. Certifications cover company, version, training sources, agentic decision-making and hazard categories. The charter is described as a living document.
One primary source; other links are context, not independent corroboration.
- Primary sourceGitHub · new popular AI repos
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The repository hosts a public site for the Universal AI Charter, a set of governance principles for AI built on disclosure rather than a development slowdown. The site includes the charter text, a form for companies to generate certification files for their models, a searchable registry of certified models sourced from JSON files, a list of hazard placard categories, a blog post and an FAQ. Certifications cover company, version, training sources, agentic decision-making and hazard categories. The charter is described as a living document.
Key findings from the stored brief
- The charter argues AI development should speed up, while models and operators disclose capabilities, training data and past failures.
- A certification form lets companies generate a certification file covering training sources, agentic decision-making and hazard categories.
- Certified models are listed in a searchable registry built from JSON files in the repository.
- Hazard placard categories are colour-coded by severity and can be extended by pull request.
Source claims not independently checked; the README text shown is partial and the registry contents and adoption by companies are not verified.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
These links show where the signal came from and what the source page linked to. A linked page is context, not independent corroboration.
The GitHub source is linked. Lifetime stars are context, not measured recent momentum, code quality, security, or independent verification.
Timeline & updates
- Signal dated by source or discovery feed
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- Shared brief stored
AINewsIQ prepared one abstract from fetched source page.
A publication revision history is not stored for this signal. New engagement snapshots do not mean the source itself changed.
Why this may matter
It proposes a concrete, open-source mechanism for public disclosure and certification of AI models as an alternative to slowing development, which may inform governance discussions.
Limits and open questions
Source claims not independently checked; the README text shown is partial and the registry contents and adoption by companies are not verified.
Organization-specific financial, security, and operational effects require the organization's own context and review.
Discussion
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