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Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems
arXiv - CS - Computers and Society Pub Date : 2021-02-16 , DOI: arxiv-2102.11211
Jip van Stijn

Increasing automation in the healthcare sector calls for a Hybrid Intelligence (HI) approach to closely study and design the collaboration of humans and autonomous machines. Ensuring that medical HI systems' decision-making is ethical is key. The use of Team Design Patterns (TDPs) can advance this goal by describing successful and reusable configurations of design problems in which decisions have a moral component, as well as through facilitating communication in multidisciplinary teams designing HI systems. For this research, TDPs were developed to describe a set of solutions for two design problems in a medical HI system: (1) mitigating harmful biases in machine learning algorithms and (2) sharing health and behavioral patient data with healthcare professionals and system developers. The Socio-Cognitive Engineering methodology was employed, integrating operational demands, human factors knowledge, and a technological analysis into a set of TDPs. A survey was created to assess the usability of the patterns on their understandability, effectiveness, and generalizability. The results showed that TDPs are a useful method to unambiguously describe solutions for diverse HI design problems with a moral component on varying abstraction levels, that are usable by a heterogeneous group of multidisciplinary researchers. Additionally, results indicated that the SCE approach and the developed questionnaire are suitable methods for creating and assessing TDPs. The study concludes with a set of proposed improvements to TDPs, including their integration with Interaction Design Patterns, the inclusion of several additional concepts, and a number of methodological improvements. Finally, the thesis recommends directions for future research.

中文翻译:

医疗混合智能系统中的道德决策:偏向缓解和数据共享设计问题的团队设计模式

医疗保健领域越来越多的自动化要求混合智能(HI)方法来密切研究和设计人机和自动机的协作。确保医疗HI系统的决策符合伦理道德是关键。团队设计模式(TDP)的使用可以通过描述成功且可重复使用的设计问题(其中决策具有道德成分)以及促进在设计HI系统的多学科团队中进行交流来实现此目标。为了进行这项研究,开发了TDP,以描述一套针对医疗HI系统中两个设计问题的解决方案:(1)减轻机器学习算法中的有害偏差;(2)与医疗保健专业人员和系统开发人员共享健康和行为患者数据。采用了社会认知工程方法,将运营需求,人为因素知识和技术分析整合到一组TDP中。创建了一个调查来评估这些模式在其可理解性,有效性和可概括性方面的可用性。结果表明,TDP是一种有用的方法,可以清楚地描述具有不同抽象级别上道德成分的各种HI设计问题的解决方案,这些解决方案可由多学科的多学科研究人员小组使用。此外,结果表明,SCE方法和已开发的问卷是创建和评估TDP的合适方法。该研究以对TDP的一系列建议改进作为结束,包括与交互设计模式的集成,包括其他一些概念以及许多方法上的改进。最后,
更新日期:2021-02-23
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