Scroll down for an overview of our work aimed at strengthening Digital Commons
This white paper describes ways of building a books data commons: a responsibly designed, broadly accessible data set of digitized books to be used in training AI models.
During the last AI and the Commons call, we spoke to Tim Davies about including the public in AI governance. In his presentation, Tim talked about Connected by Data’s People’s Panel on AI.
In this white paper, we propose an approach to sharing data sets for AI training as a public good governed as a commons.
As input for the digital policy agenda for the second part of Europe’s Digital Decade, we are offering seven suggestions for policy interventions in support of the Digital Commons.
As a part of our exploration of the open movement, we co-hosted a workshop with a small group of the movement’s leaders. Participants represented a broad range of views that allowed us to identify the strategic tensions within the movement relating to, a.o., its politics, socio-economic constraints, digital rights, and equity.
You can read the full report as a PDF or online.
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.
