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食品银行和食堂服务中的人工智能:系统性审查

Yuanyuan Yang¹, Ruopeng An², Cao Fang¹

¹Brown School, Washington University in St. Louis, St. Louis, MO 63130, USA.

|May 14, 2025

概括

人工智能 (AI) 有望改善食品银行运营,但目前的研究是有限的. 需要进一步的研究来探索AI.

科学领域:

粮食安全和公共卫生问题
运营研究和运营管理.
人工智能应用的人工智能应用.

背景情况:

粮食银行和储藏室对于粮食安全至关重要,但却面临着捐赠变化和供需不匹配等运营挑战.
人工智能 (AI) 在各个行业越来越多地被采用,这表明在粮食援助计划中解决复杂的运营问题有潜力.

研究的目的:

系统地审查关于人工智能 (AI) 在食品银行和储藏室服务中的应用的经验证据.
确定人工智能在增强食品银行运营中的当前趋势,方法和局限性.

主要方法:

系统性文献审查遵循系统性审查和元分析 (PRISMA) 准则的首选报告项目.
在11个电子文献数据库中进行全面搜索,截至2025年4月15日.
包括专家评审的论文,重点关注食品银行和储藏室的AI应用.

主要成果:

确定了五篇同行评审论文 (2015-2024年),主要使用结构化数据机器学习算法 (例如神经网络,随机森林).
一项研究使用了基于文本的主题建模.
研究重点是食品捐赠过程 (3项研究) 和食品收集/分配 (2项研究).

结论:

人工智能展示了增强食品银行和储藏室运营的新兴潜力.
存在重大局限性,包括研究稀缺,地理范围有限,以及方法论问题 (数据代表性,统计能力).
伦理考虑 (AI偏见,公平性) 和政策影响需要在未来的研究中进行更深入的调查.

关键词:

人工智能的人工智能是人工智能.人工智能伦理学人工智能伦理学数据科学数据科学粮食银行粮食银行食品储藏室食品储藏室食品储藏室食品服务食品服务系统性审查系统性审查

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