Leveraging Generative Artificial Intelligence to Address Data Management Challenges in Humanitarian Operations
Year: 2025
Type: article
Abstract: Integrating generative artificial intelligence (Gen-AI) into humanitarian operations presents a transformative opportunity to enhance decision-making and resource allocation. This paper explores how Gen-AI can address data management challenges in humanitarian contexts, thereby supporting decision-making and resource allocation in humanitarian operations. We examine the practical benefits and challenges of implementing this technology by studying three pilot projects: the Humanitarian Data Insights Project, the UNHCR and Arm partnership, and the WFP’s voice-to-text project. The findings highlight the potential of Gen-AI to streamline data processes, enhance accuracy, and facilitate real-time insights while also addressing concerns related to bias, data privacy, and accountability. The paper concludes with recommendations for humanitarian organizations to effectively leverage Gen-AI, emphasizing the importance of relevant data governance, AI literacy, and cross-sector collaboration. This study contributes to the growing body of knowledge on applying advanced technologies in humanitarian operations, offering insights for future research and practical implementation.
Source: IFAC-PapersOnLine
Author: Hossein Baharmand
Institution: University of Agder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414567891