A virtual presentation that enables access to content and services already available on the existing web portal and integration with an AI chatbot. The focus is on creating an interactive and engaging platform that enhances the visibility and accessibility of local services.
Activity Type AI Tools/SolutionsTechnical assistanceOSDG is a joint initiative by the UNDP ICPSD SDG AI Lab, PPMI, and a global network of researchers led by Dr. Nuria Bautista Puig, focused on SDG-related text classification and analysis. The initiative comprises three main components: a classification tool, a community-validated dataset, and an API (Application Programming Interface). The open-source tool classifies documents based on their relevance to the Sustainable Development Goals (SDGs), enabling researchers, businesses, and governments to align their work with the 2030 Agenda. The OSDG API allows for bulk SDG classification and enables seamless integration into websites, reports, and digital platforms without manual processing. The API has been adopted by platforms including the Swedish Science Portal, SciStarter, and SDG Careers. It is freely available for non-commercial use.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThe urgency to mitigate the impact of humanity on global biodiversity necessitates innovative strategies. Artificial Intelligence (AI) holds transformative potential for navigating the complex policy landscapes of biodiversity conservation and accelerating action. When applied through a human-centered approach that minimizes risk, AI can democratize access to cutting-edge analytics, empowering a broader range of stakeholders. UNDP has now supported almost 60 countries to use AI to uncover patterns in the alignment of national policies with global biodiversity aims. Developed on an on-demand basis through the Early Action Support (EAS) Project, funded by the Global Environment Facility, NBSAP Target Similarity Assessments offer customized insights on synergies between global and national biodiversity targets and provide recommendations for enhanced alignment to bring about a transformation in our societies’ relationship with biodiversity by 2030. Developed with governments to address their unique needs, these assessments can foster dynamic, inclusive, and effective national stakeholder engagement to fill gaps, raise political will, and improve sectoral collaboration, resulting in accelerated progress towards global biodiversity commitments. The GEF-8 Umbrella Programme to Support NBSAP Update and the 7th National Reports in now scaling up this GPT-based methodology to also provide insights on alignment between nature and climate targets, through a partnership between the Nature and Climate Hubs and with the UNDP contribution to the UN System's coordinated support on NDC 3.0 Funding Window.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments
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.