This scoping review examines the role of artificial intelligence (AI) in nutrition research, identifying areas where AI is currently used, understanding its future potential impact, and investigating potential concerns. The review searched eight databases and included 22 articles published between 2019 and 2023. Key findings indicate that AI's role in nutrition is primarily focused on dietary assessment, with less emphasis on malnutrition prediction, lifestyle interventions, and diet-related diseases. Clinical research is needed to determine AI's intervention efficacy. Ethical concerns, particularly regarding privacy, integrity, and accuracy, remain unresolved and need to be addressed to prevent collateral damage to certain populations. The heterogeneity of the studies limited the focus on specific nutritional areas, and future research should prioritize specialized reviews in nutrition and dieting to deepen the understanding of AI's potential in human nutrition.This scoping review examines the role of artificial intelligence (AI) in nutrition research, identifying areas where AI is currently used, understanding its future potential impact, and investigating potential concerns. The review searched eight databases and included 22 articles published between 2019 and 2023. Key findings indicate that AI's role in nutrition is primarily focused on dietary assessment, with less emphasis on malnutrition prediction, lifestyle interventions, and diet-related diseases. Clinical research is needed to determine AI's intervention efficacy. Ethical concerns, particularly regarding privacy, integrity, and accuracy, remain unresolved and need to be addressed to prevent collateral damage to certain populations. The heterogeneity of the studies limited the focus on specific nutritional areas, and future research should prioritize specialized reviews in nutrition and dieting to deepen the understanding of AI's potential in human nutrition.