More Process, Less Principles

The Ethics of Deploying AI and Robotics in Medicine

Bibliographic Data

ID21598243
AuthorsAmitabha Palmer (0000-0001-6362-4935, The University of Texas MD Anderson Cancer Center, corresponding author), David Schwan (0000-0002-7142-7293, Central Washington University)
Year2024
Volume33
Issue1
Pages121-134
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCambridge Quarterly of Healthcare Ethics (JOURNAL)
Journal identifiersISSN: 0963-1801 • E-ISSN: 1469-2147
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0963180123000087
PMID37092348
OpenAlexW4366822056
LanguageEN
References cited26

Current national and international guidelines for the ethical design and development of artificial intelligence (AI) and robotics emphasize ethical theory. Various governing and advisory bodies have generated sets of broad ethical principles, which institutional decisionmakers are encouraged to apply to particular practical decisions. Although much of this literature examines the ethics of designing and developing AI and robotics, medical institutions typically must make purchase and deployment decisions about technologies that have already been designed and developed. The primary problem facing medical institutions is not one of ethical design but of ethical deployment. The purpose of this paper is to develop a practical model by which medical institutions may make ethical deployment decisions about ready-made advanced technologies. Our slogan is “more process, less principles.” Ethically sound decisionmaking requires that the process by which medical institutions make such decisions include participatory, deliberative, and conservative elements. We argue that our model preserves the strengths of existing frameworks, avoids their shortcomings, and delivers its own moral, practical, and epistemic advantages

Citizen journalism · Engineering ethics · Management science · Political science · Robot · Robotics · Slogan · Sociology · Software deployment · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Law · Neuroethics, Human Enhancement, Biomedical Innovations · Artificial Intelligence

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