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Related Concept Videos

Ethical Dilemmas I01:17

Ethical Dilemmas I

Ethical dilemmas in nursing are of utmost importance, as they often arise from the tension between adhering to core ethical principles and the practical realities of healthcare delivery. These dilemmas require nurses to navigate complex situations where competing ethical considerations pull them in different directions.
Let us explore some examples to understand the potentially complex moral decisions nurses face.
Take the case of caring for minors, particularly in areas related to reproductive...
Ethical Issues01:27

Ethical Issues

Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
Ethics and Bioethics01:22

Ethics and Bioethics

Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...
Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Standards of Care II01:19

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:

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Discursive Ethics as a Normative Foundation for Integrating Ethics into AI Clinical Decision Support Systems.

José-Félix Lozano1

  • 1Instituto Ingenio (CSIC - UPV), Universitat Politècnica de València, Camino de Vera S/N, Valencia, 46022, Spain. jlozan@dpi.upv.es.

Science and Engineering Ethics
|May 14, 2026
PubMed
Summary

Integrating Artificial Intelligence (AI) into healthcare requires ethical oversight. This study proposes a discursive ethics framework for AI Clinical Decision Support Systems (CDSS) to ensure human autonomy and trust.

Keywords:
AI ethicsClinical decision support systemsCommunicative rationalityDiscursive ethicsHuman agency

Related Experiment Videos

Area of Science:

  • Bioethics
  • Computer Science
  • Philosophy

Background:

  • Artificial Intelligence (AI) integration in healthcare raises concerns about human autonomy and opaque decision-making.
  • Ethical integration of AI into Clinical Decision Support Systems (CDSS) requires robust normative foundations.
  • Understanding human moral judgment models is crucial for AI ethics.

Purpose of the Study:

  • To examine the normative foundations for responsible AI integration in healthcare.
  • To propose a discursive ethics framework for AI-based CDSS.
  • To ensure AI enhances human agency and trust in clinical practice.

Main Methods:

  • Review of descriptive models of human moral judgment (rationalist, intuitionist, integrative), focusing on the Actor-Deed-Consequences (ADC) model.
  • Proposal of a discursive ethics framework based on communicative rationality, stakeholder involvement, transparency, and accountability.
  • Analysis of ethical requirements for AI deployment in healthcare.

Main Results:

  • Descriptive models alone are insufficient for the legitimacy of AI-assisted clinical decisions.
  • A discursive ethics framework provides essential conditions for ethically acceptable AI deployment.
  • AI-based CDSS should function as dialogical tools supporting human judgment.

Conclusions:

  • Embedding discursive ethical procedures in AI architectures is a normative pathway for responsible innovation.
  • Ethical AI in healthcare must enhance human agency, safeguard dignity, and strengthen trust.
  • AI-based CDSS require development as process-oriented tools that support, rather than replace, human decision-making.