Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains
Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains
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DOI：
10.1016/j.tifs.2023.01.015
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发表时间：
2023-02-03
影响因子：
15.3
通讯作者：
Pearson, Simon
中科院分区：
文献类型：
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作者：
Manning, Louise;Brewer, Steve;Pearson, Simon
背景：自主技术在食品供应链中的应用引起了许多与人类与技术、人类-技术-植物和人类-技术-动物之间相互作用相关的伦理考虑。这些考虑因素及其影响影响技术设计、技术应用方式、技术如何改变食品供应链实践、决策以及相关的伦理方面和结果。范围和方法：本文利用反思性治理的概念，批评了现有的反思性食品相关伦理评估工具，并提出了反思性治理架构所需的结构要素，该架构解决了数据共享以及人工智能（AI）和机器学习在食品供应链中的使用问题。主要发现和结论：考虑伦理在现实生活中使用自主技术的影响具有挑战性。当前的方法单独关注离散的道德要素，例如道德方面或结果、规范标准或以道德为导向的合规业务战略，其本身是不够的。或者，应用更全面、更具反思性的治理架构可以考虑道德方面、潜在的道德结果，特别是它们如何相互关联和/或相互依赖，以及在食品供应链中技术和食品产品概念化、设计、实现和采用的所有生命周期阶段的缓解需求。这项研究引起了那些对数据共享以及在食品供应链中使用人工智能和机器学习进行道德审议的人们的兴趣。
Background: The application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant and human-technology-animal. These considerations and their implications influence technology design, the ways in which technology is applied, how the technology changes food supply chain practices, decision-making and the associated ethical aspects and outcomes.Scope and approach: Using the concept of reflexive governance, this paper has critiqued existing reflective food -related ethical assessment tools and proposed the structural elements required for reflexive governance archi-tectures which address both the sharing of data, and the use of artificial intelligence (AI) and machine learning in food supply chains.Key findings and conclusions: Considering the ethical implications of using autonomous technology in real life contexts is challenging. The current approach, focusing on discrete ethical elements in isolation e.g., ethical aspects or outcomes, normative standards or ethically orientated compliance-based business strategies, is not sufficient in itself. Alternatively, the application of more holistic, reflexive governance architectures can inform consideration of ethical aspects, potential ethical outcomes, in particular how they are interlinked and/or interdependent, and the need for mitigation at all lifecycle stages of technology and food product con-ceptualisation, design, realisation and adoption in the food supply chain. This research is of interest to those who are undertaking ethical deliberation on data sharing, and the use of AI and machine learning in food supply chains.