03044nam a22005655i 4500 978-3-031-72837-2 DE-He213 20251030113114.0 cr nn 008mamaa 240928s2024 sz | s |||| 0|eng d 9783031728372 978-3-031-72837-2 10.1007/978-3-031-72837-2 doi QH332 PSAD bicssc SCI101000 bisacsh PSAD thema Kluge, Eike-Henner W. author. aut http://id.loc.gov/vocabulary/relators/aut 85269 The Ethics of Artificial Intelligence in Healthcare: From Hands-on Practice to Policy-making [electronic resource] / by Eike-Henner W. Kluge. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIII, 145 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda The International Library of Ethics, Law and Technology, 1875-0036 ; 25 Chapter 1 Introduction -- Chapter 2 Healthcare Professionals, AIs, Tools and Persons -- Chapter 3 AIs and Hands on Healthcare Professionals -- Chapter 4 AIs and Institutional Administrators -- Chapter 5 AIs and Healthcare Policy Makers -- Chapter 6 AIs as AGIs. This book provides an ethical analysis of the ethical issues that arise in the design, nature and use of AIs as they are currently used in the delivery and planning of healthcare by hands-on healthcare professionals, institutional administrators and social policy makers. It suggests that while these issues overlap, they have distinct aspects in the respective domains. Among other things, it distinguishing between AIs as expert systems as they are currently constituted and AIs as based in quantum computers or as constituted of bio-printed material, indicates how this is evolving and outlines the ethically relevant issues that would then arise. Bioethics. 68916 Artificial intelligence. 58441 Biomedical engineering. Technology Sociological aspects. Bioethics. 68916 Artificial Intelligence. 58441 Medical and Health Technologies. Science, Technology and Society. 68070 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031728365 Printed edition: 9783031728389 Printed edition: 9783031728396 The International Library of Ethics, Law and Technology, 1875-0036 ; 25 71569 https://doi.org/10.1007/978-3-031-72837-2 ZDB-2-REP ZDB-2-SXPR 63835 63835