Events

Two days with MIT Media Lab, Creative Commons, EleutherAI, IBM, Wikimedia Foundation, Common Crawl, and OSI. First time the full commons stack was articulated as a single interoperable layer.

AI Commons began not as an organization but as a conversation about whether AI would amplify inequalities or become shared infrastructure.

A Data Commons concept proposed as a key enabler for SDG-oriented AI projects, spearheaded by XPRIZE and Ocean Protocol, with Berkman Klein contributing the framework.

Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks…

For nearly a decade, AI Commons participated in and helped shape the AI for Good Summit series one of the earliest sustained convenings dedicated to what AI should be for.

Co-organized with MILA at ICLR 2019, exploring AI for social good at the intersection of academic ML research and applied ethics.

Among the first attempts to design a licensing architecture for AI systems built on shared knowledge, using smart contracts to make contribution and consent traceable. A precursor to AMPL.

An early framework articulating the distinction between AI as a competitive capability and AI as shared infrastructure.

This workshop a part of the Project Resilience was planned in conjonction with the AI for Good summit to foster discussions around the development of a collaborative portal and platform to address global…

Co-created with Khoj Studios. Part exhibition, part working commons, part salon. A prototype for how the commons shows up in the world.

AI Commons contributed to the Hiroshima AI Process, focusing on obligations arising from training systems on humanity's shared intellectual inheritance.

Co-authored by Amir Banifatemi, Nicolas Miailhe, R. Buse Çetin, and Konstantinos Karchalios.

AI Commons curated a full-day funders track. Core insight: the problem is not a lack of capital but a lack of coordination.

Full enforcement of the EU AI Act. Provenance requirements, transparency obligations, and high-risk system standards move from regulation to compliance.

Hosted by Mei Lin Fung (Vice Chair, UN AI for Good Impact Steering Committee).

Co-hosted with the Interdependence Declaration. Surfaced the framing of AI as civilizational infrastructure requiring shared standards, accountability, and incentives.

AI Commons presented 'From Data Commons to AI Commons' exploring the shift from shared data repositories to a full AI commons including compute, algorithms, and talent.

Generative AI has the potential to transform industries and society, but responsible design and collaboration among stakeholders are crucial. The Responsible Generative AI Leadership Summit gathers top leaders from…

Sustained engagement with GPAI on building institutional conditions for responsible AI.

The reframing: AI is an ecosystem without a coordination layer.

A multi-stakeholder initiative to establish shared principles around data governance in the age of AI.