White paper: ethics and trustworthiness of artificial intelligence in clinical surgery

G. Capelli, Daunia Verdi, I. Frigerio, Niki Rashidian, Antonella Ficorilli, Vincent Grasso, D. Majidi, ANDREW GUMBS, G. Spolverato
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引用次数: 2

Abstract

This white paper documents the consensus opinion of the Artificial Intelligence Surgery (AIS) task force on Artificial Intelligence (AI) Ethics and the AIS Editorial Board Study Group on Ethics on the ethical considerations and current trustworthiness of artificial intelligence and autonomous actions in surgery. The ethics were divided into 6 topics defined by the Task Force: Reliability of robotic and AI systems; Respect for privacy and sensitive data; Use of complete and representative (i.e., unbiased) data; Transparencies and uncertainties in AI; Fairness: are we exacerbating inequalities in access to healthcare?; Technology as an equalizer in surgical education. Task Force members were asked to research a topic, draft a section, and come up with several potential consensus statements. These were voted on by members of the Task Force and the Study Group, and all proposals that received > 75 % agreement were adopted and included in the White Paper.
白皮书:人工智能在临床手术中的伦理与可信度
本白皮书记录了人工智能外科(AIS)人工智能(AI)伦理工作组和AIS编辑委员会伦理研究小组关于人工智能和手术自主行为的伦理考虑和当前可信度的共识意见。伦理被分为6个主题,由工作组定义:机器人和人工智能系统的可靠性;尊重私隐及敏感资料;使用完整和具有代表性(即无偏)的数据;人工智能的透明度和不确定性;公平:我们是否加剧了获得医疗服务的不平等?技术在外科教育中的平衡作用。工作组成员被要求研究一个主题,起草一个章节,并提出几个潜在的共识声明。这些建议由工作组和研究小组的成员投票表决,所有获得75%以上同意的建议被采纳并纳入白皮书。
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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0.40
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