The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature
The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature
复制标题
人工智能对农业的社会和伦理影响：绘制农业人工智能文献
DOI：
10.1007/s00146-021-01377-9
复制
发表时间：
2022
期刊：
影响因子：
3
通讯作者：
M. Ryan
中科院分区：
文献类型：
--
作者：
M. Ryan
本文将研究在农业部门使用人工智能（AI）的社会和伦理影响。它将确定文献中确定的一些最普遍的挑战和影响，这与人工智能伦理领域中讨论的挑战和影响如何相关，并正在实施人工智能伦理准则。这将通过审查已发表的文章和会议记录来实现，这些文章和会议记录重点关注人工智能在农业食品领域的社会或伦理影响，并通过对文献的专题分析来实现。专题分析将根据11项总体原则概述的分类进行划分，这些原则来自一个既定的词汇（透明度、公正和公平、不伤害、责任、隐私、善行、自由和自主、信任、尊严、可持续性和团结）。虽然人工智能农业的研究仍然相对较新，但本文旨在绘制辩论图，并说明文献在社会和伦理影响方面的内容。其目的是根据这11项原则分析这些影响。这项研究将对比哪些影响在农业人工智能中没有讨论，哪些问题在人工智能伦理准则中没有讨论，但哪些问题与农业人工智能有关。这样做的目的是确定农业文献中的差距，以及人工智能道德准则中可能需要解决的差距。
This paper will examine the social and ethical impacts of using artificial intelligence (AI) in the agricultural sector. It will identify what are some of the most prevalent challenges and impacts identified in the literature, how this correlates with those discussed in the domain of AI ethics, and are being implemented into AI ethics guidelines. This will be achieved by examining published articles and conference proceedings that focus on societal or ethical impacts of AI in the agri-food sector, through a thematic analysis of the literature. The thematic analysis will be divided based on the classifications outlined through 11 overarching principles, from an established lexicon (transparency, justice and fairness, non-maleficence, responsibility, privacy, beneficence, freedom and autonomy, trust, dignity, sustainability, and solidarity). While research on AI agriculture is still relatively new, this paper aims to map the debate and illustrate what the literature says in the context of social and ethical impacts. It aim is to analyse these impacts, based on these 11 principles. This research will contrast which impacts are not being discussed in agricultural AI and which issues are not being discussed in AI ethics guidelines, but which are discussed in relation to agricultural AI. The aim of this is to identify gaps within the agricultural literature, and gaps in AI ethics guidelines, that may need to be addressed.
影响因子：
3.5
作者：
R. Stock;M. Gardezi
通讯作者：
R. Stock;M. Gardezi
日益增长的算法治理：质疑精准农业信任的社会建构
影响因子：
5.1
作者：
Gardezi, Maaz;Stock, Ryan
通讯作者：
Stock, Ryan