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

• DOI: 10.1016/j.imed.2021.12.002
• Publication Date: 2021-12-28T08:42:39Z
• Authors: Achim Rosemann; Xinqing Zhang
• Keywords: Responsible research and innovation; 0301 basic medicine; Artificial intelligence; 03 medical and health sciences; Health; Medical technology; Ethical, legal and social implications; Global ethics; R855-855.5; Governance of emerging technologies; 16. Peace & justice; 3. Good health

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