Abrahams Mariette, Raimundo Maria
Qina Ltd., Olhao, Portugal.
Maria Raimundo Consulting, Lisbon, Portugal.
Front Aging. 2025 May 9;6:1423759. doi: 10.3389/fragi.2025.1423759. eCollection 2025.
Artificial intelligence (AI) has emerged as a powerful tool, that has the potential to impact society on multiple levels. Increased adoption as well as employment of AI in new product development and business processes have led to heightened interest and optimism on one hand, whilst increasing fears of potential negative societal consequences on the other. The ethics of AI has subsequently become a topical issue for academics, industry players, health practitioners and regulators, who have a goal and responsibility to protect the public and limit widening inequality. Despite the publication of numerous AI ethical frameworks, guidelines and regulations, none have specifically focused on nutrition and behaviour change. Advances in technology, including AI and machine learning, have opened up novel ways to deliver personalization to guide individuals towards healthier behaviours or to manage their conditions. This perspective synthesizes the key topics that intersect in nutrition and behaviour change where AI is leveraged to provide personalized advice. We propose a 7-pillar framework to guide the development of ethical and transparent AI solutions to build consumer and practitioner trust.
人工智能(AI)已成为一种强大的工具,有可能在多个层面影响社会。在新产品开发和业务流程中,人工智能的应用和使用不断增加,一方面引发了人们更高的兴趣和乐观情绪,另一方面也加剧了对其潜在负面社会后果的担忧。因此,人工智能伦理已成为学者、行业参与者、医疗从业者和监管者的热门话题,他们的目标和责任是保护公众并限制日益扩大的不平等。尽管已经发布了众多人工智能伦理框架、指南和法规,但没有一个专门关注营养和行为改变。包括人工智能和机器学习在内的技术进步,为实现个性化提供了新途径,以引导个人采取更健康的行为或管理自身状况。本文从营养与行为改变交叉的关键主题入手,利用人工智能提供个性化建议。我们提出了一个七支柱框架,以指导道德、透明的人工智能解决方案的开发,从而建立消费者和从业者的信任。