The impact of Artificial Intelligence on health: A transformation of eating behavior
DOI:
https://doi.org/10.32870/jbf.v4i8.64Keywords:
artificial intelligence, feeding behavior, nutrition, healthAbstract
This article analyzes the impact of artificial intelligence (AI) on eating behavior, showing how this technology is transforming food production, consumption, preferences and eating habits. Three main perspectives are explored: biological, psychological and socio anthropological. From a biological perspective, AI enables the analysis of genetic and metabolic data to personalize dietary recommendations, thus optimizing individual health. In the psychological perspective, AI helps identify how emotions and mood influence dietary choices, enabling more effective interventions. In the socio anthropological setting, AI can integrate cultural, demographic and economic data to recommend diets that respect food traditions and accessibility. This perspective also includes AI applications in nutrition through apps and software that create personalized meal plans that dynamically adjust to dietary recommendations, resulting in useful tools for healthcare professionals. On the other hand, in food production, AI optimizes crop and resource management, improving the efficiency and sustainability of the supply chain. Finally, the challenges and opportunities presented by the integration of AI in eating behavior and how these technologies can contribute to better overall health and well-being are mentioned.
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