Exploring the social,ethical,legal,and responsibility dimensions of artificial intelligence for health-a new column in Intelligent Medicine

作     者：Achim Rosemann Xinqing Zhang Achim Rosemann;Xinqing Zhang

作者机构：Centre for Computing and Social ResponsibilityDe Montfort UniversityLeicesterUnited Kingdom Department of SociologyPhilosophy and AnthropologyUniversity of ExeterUnited Kingdom School of Humanities and Social SciencesPeking Union Medical College&Chinese Academy of Medical SciencesBeijing 100005China 

出 版 物：《Intelligent Medicine》 (智慧医学（英文）)

年 卷 期：2022年第2卷第2期

页      面：103-109页

核心收录：

学科分类：1006[医学-中西医结合] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 081104[工学-模式识别与智能系统] 0811[工学-控制科学与工程] 10[医学] 100602[医学-中西医结合临床] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Achim Rosemann was supported by funding from the European Union’s Horizon 2020 research and innovation programme (Grant Nos. 945539  786641  and 788503). 

主　　题：Artificial intelligence Health Ethical,legal and social implications Responsible research and innovation Global ethics Governance of emerging technologies 

摘      要：This essay is the starting point of a new column in Intelligent Medicine that invites interdisciplinary perspectives on the social,ethical,legal,and responsibility aspects of the use of artificial intelligence(AI)in medicine and health care.Papers in this column will examine the practical,conceptual,and policy dimensions of the use of AI for health-related purposes from comparative and international perspectives.We invite contributions from around the world in all application areas of AI for health,including health care,health research,drug development,health care system management,as well as public health and public health surveillance.The column aims to provide a forum for reflective and critical scholarship that contributes to the ongoing academic and policy debates about the development,use,governance,and implications of AI in medical and health care settings.To launch the column,we first provide an overview of recent approaches that have been developed to identify and address the effects and potential impacts of science and technology innovations on human societies and the environment.These include ethical,legal,and social implications/aspects(ELSI/A)research,responsible research and innovation(RRI),sustainability transitions research,and the use of international standard-setting instruments for responsible and open science issued by the United Nations Educational,Scientific,and Cultural Organization(UNESCO),the World Health Organization(WHO),and other international bodies.In Part Two of this essay,we discuss some of the central challenges that arise with regard to the integration of AI and big data analytics in medical and health care settings.This includes concerns regarding(i)the control,reliability,and trustworthiness of AI systems,(ii)privacy and surveillance,(iii)the impact of AI and automation on health care staffemployment and the nature of clinical work,(iv)the effects of AI on health inequalities,justice,and access to medical care,and(v)challenges related to regulation and governance.We end the essay with a call for papers and a set of questions that could be relevant for future studies.