Evaluating the acceptability of ethical recommendations in industry 4.0: an ethics by design approach

被引:0
|
作者
Anderson, Marc M. [1 ,2 ]
Fort, Karen [3 ]
机构
[1] Univ Lorraine, UMR 7503, Inria, LORIA, 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] Sorbonne Univ, Univ Lorraine, Inria, LORIA,UMR 7503, Campus Sci,615 Rue Jardin Bot, F-54506 Vandoeuvre Les Nancy, France
基金
欧盟地平线“2020”;
关键词
Artificial intelligence; Ethics; Heavy industry; Industry; 4.0; Operationalizing;
D O I
10.1007/s00146-023-01834-7
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 paper, we present the methodology we used in the European Horizon 2020 AI-PROFICIENT project, to evaluate the implementation of the ethical component of the project. The project is a 3-year collaboration between a university partner and industrial and tech partners, which aims to research the integration of AI services in heavy industry work settings. An AI ethics approach developed for the project has involved embedded ethical analysis of work contexts and design solutions and the generation of specific and evolving ethical recommendations for partners. We have performed an ongoing evaluation and monitoring of the implementation of recommendations. We describe the quantitative results of these implementations: overall, broken down by category, and broken down by category and responsible project partner (anonymized). In parallel, we discuss the results in light of our approach and offer insights for future research into the ground-level application of ethical recommendations for AI in heavy industry.
引用
收藏
页码:2989 / 3003
页数:15
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