OML is a proposed primitive for distributing AI models for local execution while maintaining cryptographically enforced authorization. The paper formalizes white-box model-protection goals, including resistance to model extraction and permission forgery, and presents OML 1.0 using model fingerprinting and crypto-economic enforcement mechanisms.
