The RAIL licenses are gaining ground, but permissive sharing is still the prominent norm governing the sharing of ML models on huggingface.co. This analysis aims at understanding how licenses are used by developers making ML model-related code and or data publicly available.
This white paper presents the case of using openly licensed photographs for AI facial recognition training datasets. The analysis is part of our exploration of how AI training datasets, and works included in those datasets, can be better governed and shared as a commons.
This policy brief presents a model for public-interest B2G data sharing, aimed to complement the current proposal of the Data Act. The proposal includes the creation of the European Public Data Commons, a body that acts as a recipient and clearinghouse for the data made available.
The report "Generative Interoperability: Building public and civic spaces online" co-authored with Commons Network, proposes to treat interoperability as a policy principle that supports the creation of new public-civic digital spaces.