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Can nurses in clinical practice ascribe responsibility to intelligent robots?
Jerick Tabudlo1, Letty Kuan1, Paul Froilan Garma2
1College of Nursing, 54725University of the Philippines Manila, Manila, Philippines.
Nurses can assign responsibility for errors involving artificial intelligence (AI) and intelligent robots based on either human-centered or all-entity moral consideration. This framework guides ethical integration of advanced technologies in nursing practice.
Area of Science:
- Nursing
- Robotics
- Artificial Intelligence
- Bioethics
Background:
- The 21st century has seen a significant increase in intelligent robots and artificial intelligence (AI) in nursing.
- This article addresses the critical question of whether nurses can ascribe responsibility to AI and robots for errors in clinical practice.
Purpose of the Study:
- To explore two distinct worldviews—anthropocentrism and biocentrism—to answer the question of responsibility attribution for AI and robot errors in nursing.
- To analyze the ethical and moral implications of advanced technologies in healthcare settings.
Main Methods:
- The study was motivated by advancements in healthcare technology and the evolving role of nurses.
- It situates the use of AI and intelligent robots within nursing and healthcare, examining ethical considerations.
- Two philosophical frameworks, anthropocentrism and biocentrism, were applied to address the core question.
Main Results:
- Anthropocentrism posits that responsibility rests solely with humans due to their central moral standing.
- Biocentrism suggests that all entities possess moral consideration, leading to shared responsibility.
- Consensus development within these frameworks offers a path to resolve issues of responsibility allocation.
Conclusions:
- Findings support establishing robust peer review and simulation protocols before adopting AI and robots in clinical settings.
- Recommends specialized training for nurse practitioners to address ethical dilemmas posed by advanced technologies.
- Advocates for harmonizing robotics research, manufacturing, and clinical practice for responsible implementation.
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