Literature DB >> 32609420

Artificial Intelligence and Robotics in Nursing: Ethics of Caring as a Guide to Dividing Tasks Between AI and Humans.

Felicia Stokes1, Amitabha Palmer2.   

Abstract

Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathetic health care (Nurses again outpace other professions for honesty & ethics, 2018). Caring is a fundamental characteristic, expectation, and moral obligation of the nursing and caregiving professions (Nursing: Scope and standards of practice, American Nurses Association, Silver Spring, MD, 2015). Along with caring, nurses are expected to undertake ever-expanding duties and complex tasks. In part because of the growing physical, intellectual and emotional demandingness, of nursing as well as technological advances, artificial intelligence (AI) and AI care robots are rapidly changing the healthcare landscape. As technology becomes more advanced, efficient, and economical, opportunities and pressure to introduce AI into nursing care will only increase. In the first part of the article, we review recent and existing applications of AI in nursing and speculate on future use. Second, situate our project within the recent literature on the ethics of nursing and AI. Third, we explore three dominant theories of caring and the two paradigmatic expressions of caring (touch and presence) and conclude that AI-at least for the foreseeable future-is incapable of caring in the sense central to nursing and caregiving ethics. We conclude that for AI to be implemented ethically, it cannot transgress the core values of nursing, usurp aspects of caring that can only meaningfully be carried out by human beings, and it must support, open, or improve opportunities for nurses to provide the uniquely human aspects of care.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  artificial intelligence; ethics; ethics of caring; nursing; robotics

Mesh:

Year:  2020        PMID: 32609420     DOI: 10.1111/nup.12306

Source DB:  PubMed          Journal:  Nurs Philos        ISSN: 1466-7681            Impact factor:   1.279


  2 in total

1.  Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians.

Authors:  Anh Quynh Tran; Long Hoang Nguyen; Hao Si Anh Nguyen; Cuong Tat Nguyen; Linh Gia Vu; Melvyn Zhang; Thuc Minh Thi Vu; Son Hoang Nguyen; Bach Xuan Tran; Carl A Latkin; Roger C M Ho; Cyrus S H Ho
Journal:  Front Public Health       Date:  2021-11-26

2.  Study protocol: a survey exploring patients' and healthcare professionals' expectations, attitudes and ethical acceptability regarding the integration of socially assistive humanoid robots in nursing.

Authors:  Izidor Mlakar; Tadej Kampič; Vojko Flis; Nina Kobilica; Maja Molan; Urška Smrke; Nejc Plohl; Andrej Bergauer
Journal:  BMJ Open       Date:  2022-04-01       Impact factor: 2.692

  2 in total

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