UNHCR is integrating an internal Virtual Legal Assistant (VLA) powered by AI into its Rights Mapping and Analysis Platform (RiMAP). The VLA will process and analyze legal documents to facilitate legal data collection and policy analysis, and its functionality will be expanded to a chatbot to provide user-friendly legal information.
Activity Type AI Tools/SolutionsPolicy/Regulatory Guidance
UNHCR has leveraged Microsoft Azure Open AI solutions to provide personalized chatbots and assistants for various internal use cases, including generating policies, plans, and summaries from internal documents, as well as translation and content generation.
At UNHCR, we use GenAI to accelerate, deepen and sustain our impact by creating value to our workforce (Azure OpenAI, Enterprise apps/ERP and beyond).
Internal Policy Assistants:
- Provides rapid, multilingual access to shared resources such as policies and documents.
- Delivers a user-friendly interface for querying and receiving real-time responses, instead of users looking into many places (e.g., intranet)
- Enhances staff productivity, speeds response times, and supports data-driven decision-making as part of broader digital transformation efforts
This predictive analytics project harnesses nowcasting, forecasting, and machine learning to develop an early warning system that detects escalating risks of forced displacement and provides timely displacement forecasts before emergencies occur.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project provides a systematic model-agnostic framework for structuring the prediction problem of refugee and IDP movements. It aims to facilitate a more comprehensive understanding of this emerging field of research for humanitarian aid agencies.
Activity Type Policy/Regulatory GuidanceResearch/Reports/Assessments