食品系统中的营养智能:结合食品,健康,数据和人工智能专业知识
Danielle I McCarthy1,2,3
1Queen's University Belfast, Belfast, UK.
Nutrition bulletin
|January 12, 2025
概括
负责任的技术和人工智能驱动的营养智能 (NI) 可以改变食品系统,以改善健康和环境结果. 整合专家知识确保NI工具是有效的,道德的,并解决复杂的饮食行为.
科学领域:
- 食品科学与技术 食品科学与技术
- 公共卫生 营养 公共卫生 营养
- 计算健康 计算健康
背景情况:
- 粮食系统需要进行转型性变革,以改善健康和环境可持续性.
- 技术工具可以支持复杂的饮食行为改变计划.
- 数据驱动的方法对于应对营养方面的多因素挑战至关重要.
研究的目的:
- 探索负责任技术和人工智能驱动的营养智能 (NI) 在改变粮食系统中的作用.
- 突出将领域专业知识纳入NI开发和部署的机会.
- 讨论社会文化人口因素在设计有效的NI工具中的重要性.
主要方法:
- 审查食品系统中营养智能的现有例子.
- 讨论负责的AI在营养方面的未来机会.
- 强调人类在循环中的方法,在整个AI生命周期中参与专家参与.
主要成果:
- 负责任的技术可以将研究,政策,工业和社会联系起来,以提供知情决策.
- 整合食品,营养和健康专业知识对于负责任,准确和安全的NI至关重要.
- 高质量,最新的食品成分数据对于实现AI的潜力至关重要.
结论:
- 由人工智能驱动的营养智能为应对食品系统挑战提供了巨大的潜力.
- 伦理考虑,包括隐私,包容性和透明度,必须指导NI的发展.
- 人工智能专家和领域专家之间的合作对于基于证据和有效的营养干预措施至关重要.
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