AMPL License
The AI Model and Data Permission Layer a modular licensing framework that makes AI training permissions explicit, portable, and operational across jurisdictions.
Silence is not a license. Permissions must be explicit.
Most AI training data was collected without explicit AI-use permissions because those permissions didn't exist, weren't sought, or were buried in terms of service nobody reads. Courts in the US, EU, and UK are actively testing where the legal lines fall, and reaching inconsistent conclusions.
What's missing is not more litigation. It is a licensing layer that makes permissions explicit before the question of legality arises one that works for creators who want to grant permissions, platforms that want to honor them, and institutions that need to verify them.
A modular system, not a single license.
AMPL is a set of composable elements that creators, platforms, and institutions can combine to express exactly what they permit for what purposes, under what conditions, with what attribution or compensation requirements.
- Base license foundational permission structure covering training, inference, and distribution
- Modular extensions for commercial use, public interest research, non-commercial use, and sector-specific contexts
- Jurisdiction annexes adaptations for EU, civil law systems, and non-Anglo-American IP traditions
- Machine-readable encoding SPDX-compatible, Schema.org-integrated, platform-implementable
- Human-readable layer plain language summaries that creators and communities can actually understand and use
- Governance structure how the license evolves, who has standing to propose changes, how conflicts are resolved
Actively seeking co-builders.
AMPL is in active development. The framework design is established. What we are building now: the legal text, the definitional framework, license compatibility bridges with Creative Commons and existing open source licenses, and the governance structure.
We are actively seeking co-builders particularly institutions and legal experts with expertise in non-US/EU IP frameworks, civil law systems, and indigenous intellectual property traditions. AMPL needs to work globally, not just in the jurisdictions that have dominated AI development so far.