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.
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.
Your Art + AI
This zine on AI, designed for artists by Nadia Nadesan, aims at explaining the mechanics of generative AI and encouraging critical thinking about the narratives and implications surrounding AI in the arts.
Commons-based Data Set Governance for AI
In this white paper, we propose an approach to sharing data sets for AI training as a public good governed as a commons.
Open Future Annual Report 2023
Open Future Annual Report 2023 covers the second full year of our operations and provides a detailed account of the development and refinement of our organizational strategy.
Finding the path to a more open internet
The report focuses on unpacking the European Union’s policy approach to Internet standardization and proposes alternative strategies conducive to more openness, both at the technical and political levels.
