Under the AI Sprint, BMS/Information Technology Management (ITM) and the BMS/Office of Human Resources (OHR) have partnered to develop the Job Description (JD) Generator, an AI-powered tool designed to help colleagues draft high‑quality JDs faster, more consistently, and in full alignment with UNDP standards.
This initiative directly supports the People for 2030 Strategy by leveraging artificial intelligence to streamline HR processes, enhance decision‑making, and improve workforce planning. It represents a practical application of AI to address everyday operational pain points while advancing UNDP’s transition toward a more digital, agile, and data‑driven HR function.
UNDP Chat is a secure, general-purpose, generative artificial intelligence platform purpose-built for UNDP personnel. The platform provides curated and cutting-edge large language models (LLMs), document intelligence models, image models, and knowledge resources.
Users can access both closed-source and open-source models on the platform. All data shared in UNDP Chat, including conversation messages and shared files, is securely stored on UNDP’s Azure Infrastructure, protecting users from leaking sensitive data to external providers. Finally, users can access all the abilities of the platform to build a customized experience on external sites.
To support countries in building an enabling environment for artificial intelligence, UNDP has developed the Artificial Intelligence Landscape Assessment (AILA), a structured, country-led diagnostic and engagement process. The AI Landscape Assessment provides a 360-degree assessment of national AI readiness across the AI ecosystem, AI for government, and AI regulation and ethics, combining data analysis with multi-stakeholder consultation and co-creation. Since its launch in 2023, the AI Landscape Assessment has been implemented in over 30 countries, supporting governments to identify priority areas, align stakeholders, and translate insights into actionable pathways, and initiatives. Rather than producing standalone analysis, the AI Landscape Assessment generates a shared evidence base, and a forward-looking agenda that helps countries advance responsible, inclusive, and context-specific AI adoption.
Activity Type Trainings/WorkshopsResearch/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/AdvocacyThis project uses the UN LinkedSDGs API to analyze UNDP projects and map them against SDG concepts and indicators. The API employs natural language processing (NLP) techniques to identify key concepts based on UNBIS and EuroVoc thesauruses and their association with specific SDGs. For each project, we extract the top 5 key concepts and the top 3 SDG goals most closely related to these concepts. Then we integrate the extracted concepts and related SDG goals into UNDP's project portfolio dashboard, which allows for easy categorization and filtering of projects based on their alignment with specific SDGs and concepts.
Activity Type AI Tools/Solutions