Publications
Shifting tides
Our research aims to understand the current state of the open movement, as seen through the eyes of people actively involved in its endeavors and leading organizations within the movement.
Defining best practices for opting out of ML training
This Open Future policy brief examines the technical implementation of the EU law provision allowing authors and other rightholders to opt out of having their works used as training data for (generative) machine learning (ML) systems.
Regulatory requirements for the European Public Digital Infrastructure Fund
In the paper, Krzysztof investigates the characteristics of initiatives the Fund should support to create a solid foundation for the operation of the digital public space(s). He also looks into existing funding sources and how they could be used to support public digital infrastructure.
Fields of open
Fields of open is a report which consists of findings from an exploratory mapping of the movement using network analysis methods and data collected from Twitter. The first part consists of a definition of the open movement, followed by a conceptualization of the movement as consisting of distinct but connected fields of open. The second part comprises methodological information about social network analysis and data visualization. The third part includes a presentation of the network visualizations and their analysis.
The Limits of the Fair Share Debate
This policy brief contributes to the discussion about the importance of maintaining an open internet. It posits that the struggle to maintain an unfettered exchange of information online is taking place not just at the network level but also within the domain of internet platforms and in the space occupied by content and application providers.
Exploring the Intersection of Openness and AI
The rapid advancements in AI challenge the concept of openness on the internet, as companies use publicly available data to their advantage, frequently disregarding the concerns and welfare of other parties, such as artists and content creators, and the impacts of the tools they make available for use. There is a growing realization that the […]
The Growth of responsible AI licensing
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
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.
AI_Commons
The AI_Commons Final Report summarizes our findings and offers recommendations for commons-based governance of AI datasets.
Paradox of Open: Responses
We asked leaders and experts from the broad open movement to respond to the Paradox of Open, and published their responses in an online anthology.
AI_Commons white paper
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.
