Alessandro Venè ↗
Alessandro is a seasoned entrepreneur and manager with experience in R&D at the European Commission
HumanAIx / Governance
Built for shared
oversight.
Open infrastructure works best when decisions are transparent, collaborative, and accountable. Meet the people supporting HumanAIx governance.
Mission
HumanAIx is a global foundation advancing the open infrastructure for decentralized AI — where compute, data, and intelligence are governed by the many, not the few. In a world where AI risks becoming the domain of concentrated corporate and geopolitical power, HumanAIx exists to ensure these transformative technologies remain transparent, collaborative, and accessible to all.
Vision
We envision a future where AI systems are co-created by global communities, validated in the open, and deployed with shared benefit in mind. Through open-source protocols and cross-sector alliances, HumanAIx serves as a public foundation for physical AI infrastructure — rooted in decentralization, equity, and long-term societal resilience.
Foundation / Governance
CO-CHAIRS
Michael Robinson ↗
Accomplished macro trends researcher and investor with a focus on emerging markets and technologies.
Foundation / Governance
SCIENTIFIC COMMITTEE
Dr Mike O'Sullivan ↗
Senior Lecturer and Researcher at University of Auckland
Dr. Abeer S. Al-Humaimeedy ↗
Vice Dean King Saud University
Foundation / Governance
TECHNICAL Committee
Redg Snowgrass ↗
Founder of Mentibus
Sean Yang ↗
Co-Founder and CTO of OORT Founder of Nakamoto and Turing Labs
Foundation / Governance
Legal & Policy Committee
Michelle Tsing ↗
Founder of Governance Research Institute (GRI), ex PayPal
James Kingstone ↗
Director DAO SPV, founder of CDOT
Dr Ioannis Revolidis ↗
Director at DLT Centre, Lecturer at University of Malta.
Research and education
Academic Chapters
HumanAIx collaborates with the academic world to ground its protocols in rigor, transparency, and research-based ethics. Through joint research initiatives, open-access publications, and pilot deployments, academic chapters advance decentralization science for AI infrastructure, validate system reliability and fairness, and involve students and labs in protocol experimentation and design.