Artificial intelligence technology is being increasingly deployed to enhance disaster and emergency response surveillance across the Eastern Mediterranean region, according to reports from the World Health Organization (WHO) and regional authorities. The initiative focuses on using AI to analyze satellite imagery, social media feeds, and sensor data to detect natural disasters such as earthquakes, floods, and wildfires more quickly.
In a statement released on May 20, 2026, the WHO's Regional Office for the Eastern Mediterranean highlighted pilot projects in countries including Jordan, Lebanon, and the United Arab Emirates. These projects use machine learning algorithms to process data from drones and ground sensors, enabling faster identification of affected areas and more efficient allocation of rescue resources.
Dr. Ahmed Al-Mandhari, WHO Regional Director for the Eastern Mediterranean, noted that the technology has already improved response times by up to 30% in recent drills. However, experts caution that challenges remain, including data privacy concerns and the need for robust internet infrastructure in remote areas.
The deployment is part of a broader push by the United Nations to integrate AI into humanitarian efforts, with similar initiatives underway in Southeast Asia and sub-Saharan Africa. No specific budget figures or timelines for full implementation have been released.
