AI VISIONFORUM
Architecting the Future of Human-AI Synergy
Accelerating open-source AI as a public good for the Sustainable Development Goals by uniting researchers, policymakers, international agencies, open-source communities, and industry around evidence-based collaboration and actionable outcomes.
WORKING GROUPS
Six specialized themes driving innovation across critical AI domains
Ethics & Governance
Establishing robust governance frameworks for responsible AI deployment at scale.
Global Digital Infrastructure
Building AI as a global digital public good through distributed infrastructure.
AI Maturity
Developing guidance for AI capability classification and evaluation.
AI & Education
Revolutionizing learning paradigms through AI-enhanced pedagogical frameworks and adaptive systems.
Human-AI Synergy
Pioneering frameworks for augmented intelligence and human-machine collaboration.
Creative Intelligence
Exploring the intersection of artificial and human creativity in digital realms.
JOIN THE INITIATIVE
Contribute to the advancement of ethical AI through collaborative research and development
STRATEGIC SUMMITS
High-level forums shaping the trajectory of artificial intelligence governance
AI VISION SUMMIT PARIS 2026
Advancing Human-Centric AI Innovation
Annual global summit bringing together leaders to shape AI innovation, foster open collaboration, and advance human-centric artificial intelligence.
REGIONAL NETWORKS
Establishing local AI Vision Forum chapters worldwide for continuous engagement and regional innovation initiatives.
STRATEGIC RESOURCES
Access comprehensive documentation, research papers, and collaborative tools driving the future of ethical artificial intelligence
Reports & Publications
Open Source Projects
Community & Collaboration
ACCESS STRATEGIC UPDATES
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STRATEGIC VISION
The AI Vision Forum is a global dialogue and research platform dedicated to advancing open-source AI as a public good in support of the United Nations Sustainable Development Goals. Its mission is to strengthen international collaboration around open-source AI, foster evidence-based research, and explore how AI can enhance human society.
By convening a diverse ecosystem of researchers, policymakers, international agencies, open-source communities (foundations, projects, developers, and users), and industry partners, the Forum creates a trusted space for multi-stakeholder strategy exchange and joint exploration.
Our approach emphasizes fact-based and data-driven inquiry, supported by community participation, including developers, users, local communities, and universities. Through open datasets, use-case studies, and research-friendly methodologies, the Forum ensures that its outputs are rigorous, transparent, and actionable.
We harness the power of AI-generated content (AIGC) to deliver high-quality, multi-modal, and multi-platform publications, ranging from working group reports and expert interviews to white papers, academic research, and reference architectures. These outputs are distributed widely across multilingual channels such as CSDN, UN platforms, UNICC, foundations, and global social media networks.
The Forum is organized annually alongside partner events worldwide, providing a flagship venue for strategic dialogue, knowledge sharing, and collaborative action.
Strategic Pillars
Human-Centered
AI should augment and empower human capabilities, not replace them.
Transparency
Open development and clear accountability in AI systems.
Inclusivity
Ensuring AI benefits are accessible to all of humanity.
Collaboration
Global cooperation across cultures, sectors, and disciplines.
Strategic Intelligence
Education must shift from knowledge transmission to fostering critical thinking, creativity, and emotional intelligence.
AI should complement and empower human creativity, not replace it.
Governance requires holistic risk management and international collaboration.
Open source creates pathways for democratizing AI through inclusive participation.
Digital public goods in AI require multi-stakeholder investment and neutral institutions.
Human control and decision-making authority must be maintained in high-stakes AI applications.