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.
Open Future Annual Report 2022 covers the second full year of our operations and provides a detailed account of the development and refinement of our organizational strategy.
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 primer translates the conceptualizations of the governance of data as a commons into a design framework that brings these ideas to life, in particular through public policies.
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.
Policy brief on the provisions dealing with Business to Government Data Sharing in the European Commissions proposal for a Data Act that was published on 23 February 2022.
Policy brief on the provisions dealing with Interoperability and Data Sharing services in the European Commissions proposal for a Data Act that was published on 23 February 2022.
Policy brief on the provisions dealing with Access to Data and Data Portability in the European Commissions proposal for a Data Act that was published on 23 February 2022.