Second Global Dialogue on AI Governance, New York
It is the next mandated global stocktaking point for the UN AI governance architecture.
Every milestone the UN system has produced on artificial intelligence, newest first, each one sourced. Search by words or by document symbol; open any card for the record, its receipts and what it means for your desk.
76 milestones
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The co-location created a Geneva cluster linking political dialogue, scientific assessment, technical standards and implementation.
It was the first universal, recurring UN forum mandated specifically for AI governance.
The co-chairs shape the Dialogue’s agenda, synthesis and continuity into the next annual session.
It supplied the common scientific evidence base for the inaugural Global Dialogue.
It adds an applied policy and capacity-building capability to the UN’s AI governance architecture.
It was the Panel’s principal in-person working session before publication of its first assessment.
It began the operational cycle of the UN’s first universal scientific assessment mechanism focused on AI.
Its membership provides the expertise and regional legitimacy for annual UN scientific assessments of AI.
It creates a recurring evidence-to-policy process rather than a one-time expert report.
It translated the General Assembly resolution into an operating annual policy process.
It confirmed that AI had become a recurring Security Council agenda theme rather than a one-time discussion.
It created the first standing universal UN mechanisms devoted specifically to scientific assessment and policy dialogue on AI governance.
It adapts responsible-AI principles to the heightened rights and protection risks faced by displaced people.
It provided an implementation bridge between the established ITU platform and the emerging General Assembly mechanisms.
It is the evidence base from which the General Assembly decides whether military AI becomes a sustained negotiating process.
It offers one of the most detailed internationally comparable measures of generative-AI labour exposure.
It helps policymakers and developers navigate a fragmented international AI standards landscape.
ODET is the central Secretariat office coordinating Global Digital Compact and AI-governance follow-up.
WSIS+20 reviews the older UN digital framework with which the Global Digital Compact must coexist.
It created a broader General Assembly workstream on military AI, including decision support, command systems, cyber operations and strategic risk.
It broadened Security Council treatment of AI from a first briefing into a recurring high-level security issue.
It is the principal intergovernmental mandate for the UN’s current digital and AI governance architecture.
AI governance is embedded within a wider digital-governance architecture.
It supplied the institutional design later endorsed by Member States for a scientific panel and global dialogue.
It made equitable access and developing-country capacity a distinct pillar of UN AI governance.
It is the most comprehensive official UN compilation of government and stakeholder positions on autonomous weapons.
It linked intergovernmental policy developments with technical and implementation communities.
It established the first universal General Assembly consensus on broad AI governance and sustainable development.
It is a concise authoritative statement of OHCHR’s approach to generative AI.
It addresses risks created when general-purpose generative models enter high-risk health systems.
The AI-divide concept is the central development rationale for equitable global AI governance.
It creates an accountability cycle linking political commitments, operational mechanisms and General Assembly review.
OCHA’s data-responsibility work provides foundational safeguards for AI and predictive systems across humanitarian operations.
Data governance is a foundational dependency for AI accountability, inclusion and international cooperation.
Clear institutional distinctions prevent confusion between internal management, expert advice and intergovernmental governance.
It is an example of linking global AI governance with practical ecosystem development in lower-capacity settings.
It is a principal UN delivery mechanism for national AI readiness and capacity-building.
WFP offers some of the clearest publicly documented examples of AI in frontline humanitarian operations.
It expanded autonomous-weapons deliberations beyond the consensus-based CCW process to the full UN membership.
It was the first consolidated UN expert proposal for an inclusive international AI governance architecture.
It created the expert process that developed the institutional blueprint for later UN AI governance mechanisms.
The membership reflects the multi-stakeholder model used by the Secretary-General to develop global AI governance proposals.
It is the clearest joint UN-ICRC political call for binding global rules on autonomous weapons.
It provided an early global UN evidence base on the labour-market distribution of generative-AI impacts.
It formally placed AI on the Security Council’s peace and security agenda.
It connected rapid generative-AI development with UN development and standards communities.
These applications demonstrate practical AI use for prevention, preparedness and crisis response.
It is the rule set that actually governs what a UN staffer may paste into a chatbot on a Tuesday afternoon.
These pilots show how UN principles are being applied in services and operations, while exposing gaps in public evaluation.
The SDG framework explains why UN AI policy combines innovation, rights, safety and capacity-building.
The scale and decentralization of internal digital activity make common governance, evaluation and transparency important.
UNIDIR supplies technical and policy analysis to international security and disarmament negotiations.
It combines health, technical standards and intellectual-property expertise across three UN agencies.
The ignition point. Before this, AI at the UN was a specialist topic; after it, a leadership priority.
It created a rights-based track for military AI alongside disarmament and security processes.
It is the UN system’s principal internal normative framework for responsible AI.
Open and interoperable infrastructure is a practical route for developing countries to access and shape AI-enabled public services.
It is the first globally agreed comprehensive normative instrument devoted to the ethics of AI.
It established one of the first detailed UN agency frameworks for governing AI in a high-risk sector.
UN 2.0 is the main organizational-change framework within which internal AI capabilities are being developed.
It is the central framework for operational use of advanced digital technologies in UN field missions.
AI can change the speed, scale and accessibility of malicious ICT activity.
It connects AI governance to established international obligations concerning privacy, equality, expression and due process.
It is a flagship example of data integration and digital decision support in peace operations.
It is the direct policy precursor to the Secretary-General’s AI Advisory Body, the Global Digital Compact and the later Scientific Panel and Global Dialogue.
Reliable and governed data is a prerequisite for responsible institutional AI.
It anchors private-sector AI governance in existing human-rights responsibilities and remedy frameworks.
It is the UN system’s principal child-rights framework for AI.
It established a broad Human Rights Council framework within which AI-related rights issues are addressed.
These tools turn UNESCO’s normative instrument into country-level governance assessments and implementation plans.
It gave the UN system an early dedicated institutional capability focused on the security and justice implications of AI.
It created the UN system’s longest-running global platform devoted specifically to AI applications, standards and partnerships.
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