The Moral Machine: Navigating the Ethical Issues of Artificial Intelligence in Nursing Practice

Student Name
Department of Nursing Ethics and Informatics, King’s College London
NUR700: Ethics and Technology in Modern Nursing
Professor Elizabeth Radcliffe
April 27, 2026
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The Moral Machine: Navigating the Ethical Issues of Artificial Intelligence in Nursing
Practice
Abstract
The integration of Artificial Intelligence into nursing practice represents a significant
technological leap that promises to enhance clinical efficiency and patient outcomes. However,
the deployment of Artificial Intelligence also introduces a complex array of ethical challenges
that threaten to undermine the fundamental values of the nursing profession. This research paper
explores the primary ethical issues associated with Artificial Intelligence in nursing, including the
erosion of the therapeutic relationship, the risks of algorithmic bias, and the complications of
professional accountability. Utilising a United Kingdom centric perspective, the paper evaluates
how Artificial Intelligence affects patient autonomy and the principle of non maleficence.
Through an analysis of current literature and ethical frameworks, this paper argues that while
Artificial Intelligence can serve as a powerful tool for clinical decision support, it must be
governed by a robust ethical code that prioritises human empathy and professional judgment. The
paper concludes with recommendations for nursing education and policy to ensure that Artificial
Intelligence is used in a manner that preserves the moral integrity of patient care.
Introduction
Nursing is a profession rooted in human connection, empathy, and holistic care. For
centuries, the nurse has served as the primary advocate for the patient, navigating the intersection
of medical science and human experience. However, the rise of the digital age has introduced
Artificial Intelligence as a new actor in the clinical environment. Artificial Intelligence refers to
systems or machines that mimic human intelligence to perform tasks and can iteratively improve
themselves based on the information they collect. In nursing, this manifests in predictive
analytics for patient deterioration, robotic assistants for physical tasks, and automated triaging
systems.
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While the potential benefits of Artificial Intelligence are vast, the ethical implications are
equally profound. The introduction of machines into the care process challenges traditional
concepts of the therapeutic relationship and raises questions about who is ultimately responsible
for a clinical decision. As the National Health Service in the United Kingdom increasingly adopts
digital health technologies, it is essential to examine the ethical landscape of Artificial
Intelligence through the lens of nursing values. This paper provides a comprehensive analysis of
the ethical dilemmas posed by Artificial Intelligence, arguing for a human centric approach to
technological integration.
The Erosion of the Therapeutic Relationship
At the heart of nursing practice is the therapeutic relationship, a bond built on trust,
communication, and mutual respect. There is a significant concern that the increasing reliance on
Artificial Intelligence could lead to the de-personalisation of care. When machines take over
tasks such as patient monitoring or emotional support, there is a risk that the nurse becomes a
mere technician rather than a caregiver. The subtle nuances of human interaction, such as a
reassuring touch or the ability to read non verbal cues, are currently beyond the reach of Artificial
Intelligence.
The ethical principle of beneficence dictates that nurses must act in the best interest of the
patient. If the use of Artificial Intelligence leads to a decrease in human contact, the overall
wellbeing of the patient may suffer, even if their clinical outcomes improve. Patients may feel
isolated or unheard in a system that prioritises data over dialogue. Therefore, a major ethical
challenge is ensuring that Artificial Intelligence supplements rather than replaces the human
element of nursing. The goal should be to use technology to free up time for nurses to engage in
more meaningful direct patient care, rather than allowing the technology to become a barrier
between the nurse and the patient.
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Algorithmic Bias and Health Inequity
One of the most pressing ethical issues in Artificial Intelligence is the risk of algorithmic
bias. Artificial Intelligence systems are only as good as the data they are trained on. If the training
data is unrepresentative or reflects existing societal prejudices, the Artificial Intelligence will
perpetuate and even amplify these biases. In the context of nursing, this could lead to inequitable
care for marginalised groups. For example, a predictive algorithm for pain management that was
trained on data from a specific demographic might under-predict the pain levels of patients from
different ethnic backgrounds.
The principle of justice requires that healthcare is delivered fairly and equitably. When
Artificial Intelligence systems are biased, they violate this principle by creating systemic
disadvantages for certain populations. Nurses, as patient advocates, have an ethical responsibility
to question the outputs of Artificial Intelligence and to be aware of the potential for bias in the
tools they use. This requires a level of digital literacy that allows nurses to understand the
limitations of algorithms and to intervene when they suspect that a machine recommendation is
flawed or discriminatory.
Accountability and Professional Liability
The question of accountability is central to the ethical debate over Artificial Intelligence.
In traditional nursing practice, the nurse is professionally and legally responsible for their actions
and decisions. However, when a clinical decision is based on a recommendation from an
Artificial Intelligence system, the lines of responsibility become blurred. If an Artificial
Intelligence predicts a patient deterioration that does not occur, or fails to predict one that does,
who is at fault? Is it the nurse who followed the recommendation, the developer who built the
system, or the institution that implemented it?
The Nursing and Midwifery Council in the United Kingdom provides clear guidance on
professional accountability, emphasizing that nurses must be able to justify their decisions.
Relying on a black box algorithm, where the logic behind a recommendation is not transparent,
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poses a significant challenge to this requirement. For Artificial Intelligence to be used ethically, it
must be transparent and explainable. Nurses must be able to understand why an Artificial
Intelligence has made a particular suggestion so that they can exercise their professional
judgment. The ethical use of Artificial Intelligence requires that the nurse remains the final
decision maker, using the technology as a supportive tool rather than a definitive authority.
Patient Autonomy and Informed Consent
Autonomy is the right of the patient to make their own decisions about their care. The use
of Artificial Intelligence complicates this through the way data is collected and used. Patients are
often unaware of the extent to which their health data is being used to train or refine Artificial
Intelligence systems. This raises significant concerns regarding informed consent. For consent to
be truly informed, patients must understand not only what data is being collected but also how it
will be processed by Artificial Intelligence and what the potential implications are for their care.
Furthermore, there is a risk that Artificial Intelligence could lead to a form of digital
paternalism, where the algorithm knows what is best for the patient, potentially overriding the
patient own preferences. Maintaining patient autonomy in an Artificial Intelligence enabled
environment requires transparency and a commitment to shared decision making. Nurses must
ensure that patients are fully informed about the role of technology in their care and that their
values and choices remain at the centre of the clinical process.
Privacy and Data Security
Artificial Intelligence thrives on large volumes of data, much of which is highly sensitive
and personal. The ethical requirement to protect patient privacy is paramount. In the United
Kingdom, the General Data Protection Regulation and the Data Protection Act 2018 provide a
legal framework for data security, but the ethical challenges go beyond mere compliance. The
potential for data breaches or the unauthorised use of health data for commercial purposes is a
constant threat.
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Nurses have an ethical duty to ensure that patient information is handled with the utmost
confidentiality. As Artificial Intelligence systems become more integrated into healthcare
networks, the complexity of data protection increases. Ethical nursing practice involves
advocating for secure systems and ensuring that patients are aware of how their privacy is being
protected. The trust that patients place in the nursing profession is dependent on the profession
ability to safeguard their most personal information in an increasingly digital world.
The Future of Nursing Education and Ethics
As Artificial Intelligence becomes a permanent fixture of the clinical landscape, the way
nurses are educated must change. Ethical training must now include the digital and technological
aspects of care. Nurses need to be equipped with the critical thinking skills to evaluate Artificial
Intelligence tools and to navigate the ethical dilemmas they present. This includes understanding
the basics of data science, the nature of algorithmic bias, and the legal implications of Artificial
Intelligence in practice.
Furthermore, the nursing profession must take a lead role in the development of ethical
guidelines for Artificial Intelligence. Nursing values, such as compassion and advocacy, must be
hard coded into the design and implementation of these technologies. By participating in
multidisciplinary teams with engineers and data scientists, nurses can ensure that the technology
is developed with the needs of the patient and the caregiver in mind.
Conclusion
The integration of Artificial Intelligence into nursing practice is an inevitability that
brings both promise and peril. While Artificial Intelligence offers the potential to revolutionise
patient care through predictive precision and operational efficiency, it also poses significant
ethical challenges that strike at the heart of nursing values. The erosion of the therapeutic
relationship, the risk of bias, and the blurring of accountability are issues that must be addressed
with urgency and care.
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To ensure the ethical use of Artificial Intelligence, the nursing profession must adopt a
proactive and critical stance. This involves embracing technology as a tool for empowerment
rather than a replacement for empathy. By prioritising human judgment, ensuring transparency,
and advocating for justice and autonomy, nurses can navigate the digital frontier without
compromising their moral integrity. The ultimate goal of Artificial Intelligence in nursing should
be to enhance the human capacity for care, ensuring that in an age of machines, the human touch
remains the most powerful tool in the healing process.
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References
Booth, R. G., Strudwick, G., McBride, S., Collins, S., and Alexander, G. L. (2021). How the
nursing profession should adapt for a digital future. The BMJ, 373, n1190. https://doi.org/
10.1136/bmj.n1190
Nursing and Midwifery Council. (2018). The Code: Professional standards of practice and
behaviour for nurses, midwives and nursing associates. NMC Publishing.
Reyes, K. G., and O’Connor, S. (2022). Artificial intelligence in nursing: Ethical and professional
considerations. Nursing Standard, 37(1), 40 to 46. https://doi.org/10.7748/ns.
2022.e11832
Robert, N. (2019). How artificial intelligence is changing nursing. Nursing Management, 50(9),
30 to 39. https://doi.org/10.1097/01.NUMA.0000578988.56622.21
Royal College of Nursing. (2021). Data and informatics in nursing: Ethical guidance. RCN
Publishing.
Stamm, B. H. (2010). The Concise ProQOL Manual (2nd ed.). ProQOL.org.
World Health Organization. (2021). Ethics and governance of artificial intelligence for health.
WHO Guidance.
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