Nursing’s moral agency cannot be outsourced to AI, study warns

Olivia Bennett
5 Min Read
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Nursing’s moral agency cannot be outsourced to AI, study warns

Nursing's moral agency cannot be outsourced to AI, study warns
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Human moral agency irreplaceable in the era of artificial intelligence
Penn Nursing’s Connie M. Ulrich, Ph.D., RN, FAAN, the Lillian S. Brunner Chair in Medical and Surgical Nursing, Professor of Nursing, and Professor of Medical Ethics and Health Policy. Credit: University Communications/Eric Sucar

As artificial intelligence (AI) rapidly integrates into clinical settings—from predicting patient outcomes to deploying humanoid “robotic nurses”—an article published in the Hastings Center Report warns that the core of nursing, its moral agency, must remain a human-driven responsibility.

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The article, What Does Moral Agency Mean for Nurses in the Era of Artificial Intelligence?, explores the growing tension between advanced algorithmic capabilities and the ethical obligations of the world’s most trusted profession.

While AI systems can now simulate empathy and generate context-aware responses, Penn Nursing’s Connie M. Ulrich, Ph.D., RN, FAAN, the Lillian S. Brunner Chair in Medical and Surgical Nursing, Professor of Nursing, and Professor of Medical Ethics and Health Policy, and her co-authors argue that AI lacks sentience, intentionality, and accountability. The authors define a moral agent as a person capable of discerning right from wrong and being held accountable for their actions.

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Key findings from the article include:

  • AI as “Moral Zombies”: The authors note that algorithms lack the sentience required for true moral accountability.
  • The Relational Value: Nursing is characterized by a “therapeutic presence” and an intuitive exchange of shared humanity that algorithms cannot replicate, particularly in sensitive areas like end-of-life care.
  • A Growing Industry: The global robotic nurse industry is projected to reach over $2.7 billion by 2031, underscoring the urgency of establishing ethical guardrails.

Recommendations for health systems

The article emphasizes that nurses must not be passive users of technology but active leaders in its design and implementation. To preserve the public’s trust, the authors offer several critical recommendations:

  • Design Participation: Nurses must be part of AI design teams to ensure tools align with clinical values and preferences.
  • Transparency as Default: Facilities should explicitly disclose when AI is used to generate summaries or treatment suggestions, allowing patients and clinicians to understand the source of information.
  • Boundaries on AI Hiring: AI should never be used to determine the hiring of nurses, as algorithms cannot identify the human characteristics of empathy and critical reasoning.
  • Preserving Accountability: AI should be treated as a resource to support, rather than supplant, human moral deliberation.

“Patients come to health care settings to be heard, seen, and valued by skilled professionals, not to seek care from machines,” the authors state. “While AI may simulate compassion… it cannot ‘care’ in the moral sense.”

Co-authors from Penn Nursing include George Demiris, Ph.D.; Patricia Brennan, Ph.D.; Oonjee Oh, MSN; and Sang Bin You, MSN.

Publication details

Connie M. Ulrich et al, What Does Moral Agency Mean for Nurses in the Era of Artificial Intelligence?, Hastings Center Report (2026). DOI: 10.1002/hast.70030

Journal information:
Hastings Center Report

Key medical concepts

Artificial IntelligencePalliative Care

Clinical categories

Allied health

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Nursing’s moral agency cannot be outsourced to AI, study warns (2026, March 10)
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Olivia Bennett (she/her) is a health education specialist and medical writer dedicated to providing clear, evidence-based health information. She holds a strong academic background in public health and clinical sciences, with advanced training from respected institutions in the United States and the United Kingdom.   Bennett earned her Bachelor of Science in Public Health from the University of Michigan. She later completed her Doctor of Medicine (MD) at the Johns Hopkins University School of Medicine, where she developed a deep interest in preventive care and patient education.   To further strengthen her expertise in global and community health, she obtained a Master of Science in Global Health and Development from the University College London. She also completed a Postgraduate Certificate in Clinical Nutrition at the King's College London.   Since completing her studies, Bennett has worked in both clinical and health communication roles, contributing to medical blogs, health platforms, and public awareness campaigns. Her work focuses on translating complex medical research into practical guidance that everyday readers can understand and apply.   In 2021, she began specializing in digital health education, helping online health platforms maintain medically accurate, reader-friendly content. Her key areas of focus include: Preventive healthcare Women’s health Mental health awareness Chronic disease management (diabetes, hypertension) Nutrition and lifestyle medicine   Bennett believes that trustworthy health information should be accessible to everyone. Her goal is to empower readers to make informed decisions about their well-being through clear, compassionate, and research-backed guidance.   Outside of her professional work, she enjoys reading medical journals, participating in community wellness initiatives, and mentoring aspiring health writers.
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