为零售级别开发人工智能应用程序的建议
1196 S. Grant Avenue, Apartment 608, Columbus, OH 43215, United States.
Journal of food protection
|November 14, 2024
概括
人工智能 (AI) 应用对于零售食品安全是必要的,包括疫情调查和根本原因分析. 先进的AI,像认知模型一样,可能需要超越当前的模式识别能力.
科学领域:
- 食品安全 食品安全
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 当前人工智能 (AI) 在食品安全中的应用主要集中在制造和分销上.
- 人工智能工具有很大的需求,以支持零售层面的食品安全实践,特别是疫情调查和风险评估.
研究的目的:
- 突出人工智能应用在零售食品安全方面的必要性,包括食品传播疾病爆发调查,危险分析和关键控制点 (HACCP) 计划开发以及根本原因分析.
- 为开发更强大的人工智能提出前进道路,超越模式识别向认知模型发展.
主要方法:
- 该研究审查了食品安全领域现有的AI应用,将模式识别与认知模型对比起来.
- 它建议特定的零售级应用,例如自动化食品传播疾病调查表单的部分.
主要成果:
- 现有的AI,主要是模式识别,对复杂的零售食品安全任务有局限性.
- 基于认知模型的AI开发被提出为先进的零售应用更适合的方法.
结论:
- 零售食品安全需要新的AI解决方案,超出目前的模式识别能力.
- 认知模型代表了未来人工智能在食品安全领域发展的有希望的范式转变,增强了疫情调查和风险管理的能力.
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