Publications
Alignment Assembly on AI and the Commons — outcomes and learnings
This report captures learnings from the Alignment Assembly on AI and the Commons, a six-week online deliberation of open movement activists, creators, and organizations about regulating generative AI.
Open movement’s common(s) causes
This report maps current threats and opportunities facing the open movement, based on an advocacy event organized at Wikimania 2024.
Digital Commons as Providers of Public Digital Infrastructures
This paper examines literature on public digital infrastructures and current global debates. It presents five case studies demonstrating how Digital Commons can support and improve these infrastructures.
The Digital Transformation We Need
This policy brief highlights lessons drawn from an analysis of the EU’s current digital funding framework and provides recommendations to improve it.
Investing in Public Digital Infrastructure
This paper outlines four key actions to fund public-driven innovation, safeguard digital rights and reduce Europe's reliance on private, extractive digital infrastructure.
Towards Robust Training Data Transparency
This paper and the accompanying blueprint of the transparency template that the AI office is tasked to develop is a collaborative effort of Open Future and Mozilla Foundation, drawing on input from experts.
The Impact of Share Alike/CopyLeft Licensing on Generative AI
The study explores the impact of Share Alike/CopyLeft licensing on machine learning and generative AI.
Open with Purpose — Ethical Issues and Stewardship Mechanisms for Open Climate Data
The report reviews academic and “grey” literature on Open Data to identify key ethical issues and potential harm that collecting and processing such data in the context of climate action might raise.
Democratic governance of AI systems and datasets
The brief outlines a policy agenda that addresses concentrations of power in AI through policies supporting democratic governance of these technologies. It was written together with other organizations by invitation from Think7, the think tank of the Italian G7 Presidency.
Considerations for implementing rightholder opt-outs by AI model developers
This policy brief explores what compliance policies for Article 53(1c) of the AI Act could look like in practice and what technical standards and services are available to implement the rightholder opt-outs.
Towards a Books Data Commons for AI Training
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.
