Artificial Intelligence for Humanitarian Workers

By the end of the training, participants are expected to be able to:

•  Understand the fundamental concepts of Artificial Intelligence and Machine Learning, and how they can be applied in humanitarian contexts.
• Analyze how AI can be used for humanitarian data analysis, needs mapping, disaster and risk prediction, and institutional decision support.
•  Identify open-source tools and resources that local organizations can use—or adapt—to operate effectively in low-resource settings.
• Address ethical challenges associated with the use of AI in humanitarian work, including privacy protection, data bias, transparency, and accountability.
• Design an organizational implementation plan that integrates AI applications into humanitarian programs, identifying technical and human resource needs as well as potential risks.
• Strengthen the ability of local organizations to work independently - or in local/international partnerships - toward sustainable, context-appropriate AI adoption.

Target Audience

• Staff of local non-governmental organizations (NGOs) or civil society organizations (CSOs) in developing countries - particularly those working in data management, planning, monitoring and evaluation (M&E), technology, or humanitarian response.
•  Program and humanitarian response teams within local organizations seeking to integrate AI tools into their operations.
• Organizational leaders and decision-makers aiming to advance digital transformation and leverage AI in resource-constrained settings.
•   Governmental or non-governmental institutions in Qatar.
•  Students and individuals in Qatari institutions.