Application of ethical AI requirements to an AI solution use-case in healthcare domain

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-06-07 DOI:10.1108/ajb-12-2022-0201

Zohreh Pourzolfaghar, Marco Alfano, Markus Helfert

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引用次数: 0

Abstract

Purpose This paper aims to describe the results of applying ethical AI requirements to a healthcare use case. The purpose of this study is to investigate the effectiveness of using open educational resources for Trustworthy AI to provide recommendations to an AI solution within the healthcare domain. Design/methodology/approach This study utilizes the Hackathon method as its research methodology. Hackathons are short events where participants share a common goal. The purpose of this to determine the efficacy of the educational resources provided to the students. To achieve this objective, eight teams of students and faculty members participated in the Hackathon. The teams made suggestions for healthcare use case based on the knowledge acquired from educational resources. A research team based at the university hosting the Hackathon devised the use case. The healthcare research team participated in the Hackathon by presenting the use case and subsequently analysing and evaluating the utility of the outcomes. Findings The Hackathon produced a framework of proposed recommendations for the introduced healthcare use case, in accordance with the EU's requirements for Trustworthy AI. Research limitations/implications The educational resources have been applied to one use-case. Originality/value This is the first time that open educational resources for Trustworthy AI have been utilized in higher education, making this a novel study. The university hosting the Hackathon has been the coordinator for the Trustworthy AI Hackathon (as partner to Trustworthy AI project).

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将道德人工智能需求应用于医疗保健领域的人工智能解决方案用例

本文旨在描述将道德人工智能需求应用于医疗保健用例的结果。本研究的目的是调查使用开放教育资源的有效性，为值得信赖的人工智能提供医疗保健领域内的人工智能解决方案建议。设计/方法/方法本研究采用黑客马拉松方法作为研究方法。黑客马拉松是一种短期活动，参与者有一个共同的目标。这样做的目的是为了确定提供给学生的教育资源的有效性。为了实现这一目标，八组学生和教师参加了黑客马拉松。团队根据从教育资源中获得的知识为医疗保健用例提出建议。主办黑客马拉松的大学的一个研究小组设计了这个用例。医疗保健研究团队通过展示用例并随后分析和评估结果的效用，参与了黑客马拉松。根据欧盟对值得信赖的人工智能的要求，黑客马拉松为引入的医疗保健用例提出了一个建议框架。研究限制/启示教育资源已应用于一个用例。这是值得信赖的人工智能的开放教育资源第一次被运用到高等教育中，这是一项新颖的研究。主办黑客马拉松的大学一直是值得信赖的人工智能黑客马拉松的协调员(作为值得信赖的人工智能项目的合作伙伴)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.