首页    期刊浏览 2024年09月16日 星期一
登录注册

文章基本信息

  • 标题:Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
  • 本地全文:下载
  • 作者:Roberto V. Zicari ; Roberto V. Zicari ; Roberto V. Zicari
  • 期刊名称:Frontiers in Human Dynamics
  • 电子版ISSN:2673-2726
  • 出版年度:2021
  • 卷号:3
  • DOI:10.3389/fhumd.2021.688152
  • 语种:English
  • 出版社:Frontiers Media S.A.
  • 摘要:This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks analyzing images of skin lesions. The co-design of trustworthy AI developed here used a holistic approach rather than a static ethical checklist and required a multidisciplinary team of experts working with the AI designers and their managers. Ethical, legal, and technical issues potentially arising from the future use of the AI system were investigated. This paper is a first report on co-designing in the early design phase. Our results can also serve as guidance for other early-phase AI-similar tool developments.
国家哲学社会科学文献中心版权所有