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Researchers Outline Framework for Responsible AI Use in Food Security Early Warning Systems

Food insecurity affects hundreds of millions of people globally, and timely early warning systems are critical for coordinating humanitarian responses. A perspective article published in Nature Food examines how artificial intelligence and machine learning can be ethically and effectively integrated into these systems. The researchers identify key challenges in applying
Alper Konuralp