Artificial Intelligence for Humanitarian Response
Course Overview
This course is designed to equip humanitarian professionals with practical and ethical skills to apply Artificial Intelligence in crisis response, communication, and advocacy. Participants will explore how AI can enhance early warning systems, improve needs assessments, strengthen public communication, and support evidence-based advocacy—particularly within the MENA and Levant contexts.
Through real-world case studies, hands-on exercises, and region-specific insights, the course balances innovation with humanitarian principles, ensuring responsible, culturally sensitive, and ethical AI adoption in fragile and conflict-affected environments.
Learning Objectives
By the end of this course, participants will be able to:
- Understand the foundations of Artificial Intelligence in humanitarian action
- Apply AI tools for faster crisis detection and needs assessment
- Use AI to improve humanitarian communication and public engagement
- Counter misinformation and disinformation during crises
- Design ethical, culturally sensitive AI-powered advocacy campaigns
- Translate complex crisis data into compelling narratives and visuals
Target Audience
- Humanitarian workers and field practitioners
- Communication and media officers
- Policy advisors and advocacy specialists
- NGO leaders and program managers
- University students considering careers in the humanitarian sector
Duration, Format & Location
Course Modules
AI Foundations & Humanitarian Crisis Response
- Introduction to AI in humanitarian emergencies
- Key AI applications in relief, recovery, and preparedness
- Regional trends, challenges, and opportunities in MENA & Levant
Ethics, Governance & Humanitarian Principles
- Bias prevention and cultural sensitivity in AI systems
- Data privacy, protection, and responsible AI use
- Safeguarding vulnerable communities in conflict zones
AI for Crisis Detection & Needs Assessment
- Forecasting displacement, food insecurity, and disease outbreaks
- AI-driven early warning systems
- Case studies from Syria, Lebanon, and Yemen
AI-Driven Crisis Communication
- Real-time multilingual chatbots for affected communities
- Social listening and adaptive crisis messaging
- Enhancing trust and engagement during emergencies
Countering Misinformation & Disinformation
- AI-powered fact-checking and verification tools
- Detecting deepfakes and manipulated media
- Managing information integrity during conflicts
AI in Humanitarian Storytelling & Advocacy
- Turning crisis data into compelling narratives
- AI-assisted visuals, translation, and inclusive content
- Ethical storytelling for humanitarian impact