Artificial Intelligence & Machine Learning

Leveraging artificial intelligence (AI) for crowd monitoring can help law enforcement officers and related authorities identify threats to public safety more efficiently, support human operators in making quicker, more informed decisions, improve response times and reduce workload. Yet, AI-enhanced surveillance raises critical ethical, societal, and human rights considerations. The AI4citizens: Responsible AI for Citizen Safety in Future Smart Cities project, funded by the Research Council of Norway, brings together a multidisciplinary team to explore how an AI system for crowd monitoring and anomaly detection can be designed and deployed responsibly by anonymizing CCTV footage.

The Digital agriculture and AI innovation roadmap crystallizes a shared vision: an agrifood future where innovation is inclusive, trusted, and relentlessly focused on impact.

The UNU Global AI Network announces the publication of its 2025 Report, a comprehensive review of its inaugural year as a global platform dedicated to operationalizing the Global Digital Compact. This report highlights key milestones in multi-stakeholder collaboration aimed at advancing ethical and inclusive AI for sustainable development.

This session spotlighted AI Initiatives featured in the soon to be launched UN AI Resource Hub, a collaborative effort by UNDP, ITU, and UNESCO.

AI can lift growth, expand opportunities, improve public services, and strengthen resilience. The same technologies, however, can accelerate exclusion, undermine governance, and raise human insecurity. This report links AI to global inequality, labor market disruption, gender gaps in access, and differences in state capacity and trust. In Asia and the Pacific, AI readiness exceeds 70% in advanced economies but falls below 20% in fragile states, highlighting how uneven the starting line already is.

In this webinar, the Team shared the most portable lessons learnt from the AI School, exploring what worked, what didn’t, and the practical patterns you can reuse to accelerate safe, inclusive AI upskilling across your organisation and team.

This session of FAOs Science and Innovation Forum explored how digital innovations and technologies are transforming the food safety landscape.

Five country examples illustrate diverse uses of AI tools in FAO, including pathogen detection, import sampling prioritization, and language models for regulatory data processing.

Artificial intelligence (AI) can accelerate sustainable development when used responsibly. UNDP helps countries build inclusive AI ecosystems that benefit both people and the planet.

The report sets out proposals to strengthen the UN’s delivery across all three pillars of its work while also advancing more effective collaboration across the pillars.

Protecting environmental resources by detecting illegal dumpsites using artificial intelligence and satellite imagery

This first edition of the 2025 UN Innovation Update showcases how 31 UN entities are testing, scaling, and applying practical solutions across health, climate, education, humanitarian action, and more, to accelerate progress on the Sustainable Development Goals.

See how ITU puts the UN 2.0 vision into action - building capabilities, shifting mindsets, and rewiring the system for greater impact.

AI4All: Acceleration Program in UNGSC

A deep dive into feminist tech and AI innovations transforming the internet into a safe, inclusive lifeline for women and girls in crisis—bridging the gender digital divide through ethical, survivor-centered design.

UN Digital ID: Uniting the UN’s Global Culture