Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles

被引:2
|
作者
Salvini, Pericle [1 ]
Reinmund, Tyler [1 ]
Hardin, Benjamin [1 ]
Grieman, Keri [1 ]
Ten Holter, Carolyn [1 ]
Johnson, Aaron [1 ]
Kunze, Lars [1 ]
Winfield, Alan [2 ]
Jirotka, Marina [1 ]
机构
[1] Univ Oxford, Dept Comp Sci, Oxford, England
[2] Univ Bristol, Dept Engn Design & Math, Bristol, England
来源
基金
英国工程与自然科学研究理事会;
关键词
autonomous decision making systems; human oversight; Boeing 737 MAX MCAS; predictive algorithm for social care; driver monitoring systems;
D O I
10.3389/fpos.2023.1238461
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
This paper draws on three case studies to examine some of the challenges and tensions involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the paper highlights: (i) challenges around the shifting "locale" of the decision, and the associated consequences for stakeholders; (ii) potential implications for stakeholders from regulation such as the General Data Protection Regulation (GDPR); (iii) the different values that stakeholder groups bring to the "decision" question; (iv) how complex pre-existing webs of stakeholders and decision-making authorities may be disrupted or disempowered by the use of an automated system and the lack of evaluation of possible consequences; (v) how ADMS for non-technical users can lead to circumvention of the boundaries of intended system use. We illustrate these challenges through case studies in three domains: adult social care, aviation, and vehicle driver monitoring systems. The paper closes with recommendations for both practice and policy in the deployment of ADMS.
引用
收藏
页数:17
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