About UNU
The United Nations University (UNU) is a global think tank and postgraduate teaching organisation headquartered in Japan. The mission of the UN University is to contribute, through collaborative research and education, to efforts to resolve the pressing global problems of human survival, development and welfare that are the concern of the United Nations, its Peoples and Member States.Activities by UNU
2025 UNU Macau AI conference
Global Not ApplicableUnder the theme AI for All: Bridging Divides, Building Sustainable Futures, the United Nations University Institute in Macau (UNU Macau) convened a multisectoral conference to provide a platform for coordination and collaboration of diverse stakeholders in explicating the problems and solutions of AI. The conference convened under the theme AI for All: Bridging Divides, Building a Sustainable Future, featuring 26 sessions in 3 thematic tracks. The plenary session launched the UNU Policy Guideline: Recommendations on the Use of Synthetic Data to Train AI Models. The UNU Global AI Network launched officially under the witness of over 30 members.
Activity Type Policy/Regulatory GuidanceAwareness/AdvocacyNetworks/Mentorship/ExchangeExplainable identification of predictive factors for successful inter-agency partnerships
GlobalThe seminar showcases an AI engine for ranking partnership success factors and improving decision-making in multilateral development organizations.
Activity Type Research/Reports/AssessmentsMulti-agent Multi-model Deep Research System
Global Japan
A multi-agent, multi-model system designed to automate the end-to-end process of deep research and report generation. The system addresses the traditionally labor-intensive and time-consuming nature of knowledge synthesis by orchestrating a sequential, human-in-the-loop workflow.
The architecture comprises a Planning Agent, which deconstructs a high-level user topic into a structured, editable research plan, and a Research Agent, which executes this plan by performing deep web research for each subtopic.
It addresses the limitations of traditional research workflows, which often suffer from algorithmic bias and informational silos, by leveraging multi-engine synthesis and an AI Judge to produce high-fidelity insights. The system ensures objectivity by comparing outputs from different search engines and consolidating them into a single, superior report.
Key Features:
Automated Planning: Breaks down topics into objectives and subtopics.
Deep Web Research: Executes multi-engine searches for broad coverage.
Cited Synthesis: Produces structured reports with references.
AI Judging: Compares multiple drafts and merges the best insights.
Automated Scoring: Quantifies report quality based on coverage and depth.
Iteration Tools: Allows re-synthesis without re-running full research.
Value Proposition:
Delivers comprehensive, unbiased, and actionable research outputs that surpass single-source approaches, making it ideal for academic, policy, and enterprise use cases.
Adaptability Beyond Research:
This architecture can be repurposed for other domains:
Policy Analysis: Aggregate and synthesize legislative data.
Market Intelligence: Compare insights from multiple industry sources.
Risk Assessment: Merge reports from different compliance engines.
UNU-UNESCO-UM Workshop: Ethical AI - Pioneering Progress in the Asia-Pacific
Asia and the PacificThis workshop aims to facilitate multi-stakeholder dialogue, uniting experts, policymakers, and stakeholders to explore the ethical dimensions of AI and seeks to catalyze collective efforts toward responsible AI development and deployment in the region.
Activity Type Awareness/AdvocacyTrainings/Workshops