Timeline
In this white paper, we propose an approach to sharing data sets for AI training as a public good governed as a commons.
There is a growing need for a new set of community-based principles and governance framework for the digital commons, which combines the achievements of free culture with care for other rights and balances sharing with consent.
The AI_Commons Final Report summarizes our findings and offers recommendations for commons-based governance of AI datasets.
On Friday, 18 November, we organized an in-person AI_Commons roundtable together with Creative Commons.
A research report presenting results of a survey conducted by Selkie Study as part of our AI_Commons initiative. The survey allowed us to gather insights from users of photo-sharing platforms, on the use of content that they shared openly for AI training. The main objective of this study was to identify possible points of controversy around the usage of open content for the development of AI technologies. It also enabled us to outline directions for further research and for supporting users in understanding and reacting to incidents related to the development of AI technologies.
We are publishing today, as a request for comments, a white paper on understanding the implications of face recognition training with CC-licensed photographs.
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.
On Friday 24 June we participated in a Workshop on AI Infrastructures for Civil Society and the Arts organized by the Hardware Medienkunst Verein. Paul's intervention was centered on the possibility of Common Data Spaces that can nurture artistic practices and civil society activism.
An essay from Adam Harvey on CC licensing of AI training datasets building on the research we have commissioned from him as part of the AI_Commons initiative.
On Monday 7 March at 19:00 CET, Francesco and Aniek Kempeneers co-hosted a session dedicated to AI_Commons at Mozilla Festival 2022.
As part of the AI_Commons research activity, Open Future partnered with Aniek Kampeneers to investigate how design concepts for consent practices can provide an added layer of protection for users’ privacy in the online sphere.
Discussing with the broad Open Movement how to reconcile Open licensing and AI training
Openly licensed photographs of faces have been broadly used for the training of AI facial recognition systems. This is widely presented as an example of corporate extraction of value from the commons, yet no policy or governance solution has been provided to this challenge.
