As the debate over how the AI Act should deal with foundation models reaches a climax, we argue that it would be a mistake to leave this crucial aspect of AI regulation to the AI companies themselves, and that there is indeed a need for mandatory transparency and documentation requirements.
The Center for Policy Research at United Nations University (UNU-CPR) published our policy note, which builds on our work on Public Data Commons and informs a recommendation from the report of the High-Level Advisory Board on Effective Multilateralism.
Experts agree that artificial intelligence is the next frontier of market concentration in the Internet economy. The democratization of AI development hinges on public investment in AI infrastructure.
Analysis of the European Commission’s proposal for a Digital Euro that argues that in order to meet its objectives, the Digital Euro must be built on top of public digital infrastructure.
This opinion takes a closer look at how the Falcon 180B model is licensed and is a part of our exploration of the emergent standards for the sharing of AI models.
Some experts believe that open-sourcing AI increases the risk of malicious use. In this opinion, we argue that calls for regulators to intervene and limit the possibility of open-sourcing AI models must consider the impact on freedom of expression.
We agree with Widder, West, and Whittaker that openness alone will not democratize AI. However, it is clear to us that any alternative to current Big Tech-driven AI must be, among other things, open.
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.
In this article, Open Future fellow Nadia Nadesan shares learnings from facilitating a citizen assembly with Algorights to investigate local participation concerning the AI Act.
In this analysis, I review the Llama 2 release strategy and show its non-compliance with the open-source standard. Furthermore, I explain how this case demonstrates the need for more robust governance that mandates training data transparency.