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
Responsible and Inclusive Urban AI: Opportunities and Challenges for Advancing Sustainable Development Goals.
Global Not ApplicableThis project navigates the intersection of Artificial Intelligence (AI) in cities and the imperative of responsible governance for sustainable development. The paper addresses the transformative potential of AI for urban challenges by leveraging insights from the global assessment of AI in cities and proposes key considerations for responsible AI adoption in cities, offering actionable strategies for aligning AI initiatives with the SDGs.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceSummer school on digital and green transitions
Global Netherlands
This summer school aims to strengthen technical and thematic capabilities on evidence-based digital policies to achieve Universal and Meaningful Connectivity. Participants will learn to interpret and use ICT statistics for developing, implementing and evaluating evidence-based digital policies. Through lectures, interactive and hands-on sessions, they will engage with experts on issues related to digital policies, and ICT statistics and maps, generating and applying evidence-based insights to inform and communicate policy-relevant issues on ICTs and digital technology.
This advanced training course is intended for:
Government Officials responsible for digital policies in ministries and telecommunications regulatory authorities.
Policy analysts from national and regional organisations in the field of telecommunication regulation.
Data analysts, researchers, and policymakers.
To learn more and apply to the summer school, click here.
Contact:
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
Global Not ApplicableThis document sets out recommendations for the responsible use of synthetic data in AI training. The use of synthetic data has the potential to enhance existing data to allow for more efficient and inclusive practices and policies. However, we cannot assume synthetic data to be automatically better or even equivalent to data from the physical world.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/AdvocacyGuiding Principles for Artificial Intelligence in Cities
Global Not ApplicableThis initiative focuses on developing comprehensive guidelines and assessment tools to support cities in responsibly adopting AI technologies, ensuring inclusivity, sustainability, and ethical governance. The project's focus is on practical tools for evaluating AI readiness and governance gaps.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceNetworks/Mentorship/Exchange