From the ground up: developing a practical ethical methodology for integrating AI into industry

被引:9
作者
Anderson, Marc M. [1 ,2 ]
Fort, Karen [2 ,3 ]
机构
[1] Univ Lorraine, LORIA, UMR 7503, INRIA, Campus Sci,615 Rue Jardin Bot, F-54506 Vandoeuvre Les Nancy, France
[2] CNRS, Campus Sci,615 Rue Jardin Bot, F-54506 Vandoeuvre Les Nancy, France
[3] Univ Lorraine, Sorbonne Univ, INRIA, LORIA,UMR 7503, Campus Sci,615 Rue Jardin Bot, F-54506 Vandoeuvre Les Nancy, France
关键词
Artificial intelligence; Tailored ethics; Industry; 4; 0; Workplace; Ethical supervisor;
D O I
10.1007/s00146-022-01531-x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article we present a new approach to practical artificial intelligence (AI) ethics in heavy industry, which was developed in the context of an EU Horizons 2020 multi partner project. We begin with a review of the concept of Industry 4.0, discussing the limitations of the concept, and of iterative categorization of heavy industry generally, for a practical human centered ethical approach. We then proceed to an overview of actual and potential AI ethics approaches to heavy industry, suggesting that current approaches with their emphasis on broad high-level principles are not well suited to AI ethics for industry. From there we outline our own approach in two sections. The first suggests tailoring ethics to the time and space situation of the shop floor level worker from the ground up, including giving specific and evolving ethical recommendations. The second describes the ethicist's role as an ethical supervisor immersed in the development process and interpreting between industrial and technological (tech) development partners. In presenting our approach we draw heavily on our own experiences in applying the method in the Use Cases of our project, as examples of what can be done.
引用
收藏
页码:631 / 645
页数:15
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