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Ethical Issues01:27

Ethical Issues

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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.
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Ethics and Bioethics01:22

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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...
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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:
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AI-Y: An AI Checklist for Population Ethics Across the Global Context.

Yulin Hswen1, John A Naslund2, Margaret Hurley1

  • 1Department of Epidemiology and Biostatistics and Medicine, University of California, San Francisco, USA.

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|July 14, 2025
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Summary

Artificial intelligence (AI) in public health shows promise but often lacks ethical considerations. The AI-Y Checklist reveals widespread ethical gaps, emphasizing the need for alignment beyond technical excellence for responsible AI deployment.

Keywords:
AI GovernanceAccountabilityArtificial IntelligenceDigital HealthEthicsPopulation HealthPublic HealthTransparency

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Area of Science:

  • Public Health
  • Artificial Intelligence Ethics
  • Global Health

Background:

  • AI development for public health often overlooks ethical considerations, particularly in low-resource settings.
  • Issues include homogenous training data and limited accessibility, creating ethical gaps in accountability and governance.
  • Six global case studies highlight AI's potential in diagnosis and care delivery alongside ethical challenges.

Purpose of the Study:

  • Introduce and apply the AI-Y Checklist for Population Ethics framework.
  • Evaluate the ethical development and deployment of AI in public health globally.
  • Determine principles for contextually appropriate AI use in population health.

Main Methods:

  • Narrative review of artificial intelligence in public health.
  • Application of the AI-Y Checklist for Population Ethics.
  • Analysis of six diverse global case studies on AI in healthcare.

Main Results:

  • Ethical blind spots are prevalent in AI for public health, especially concerning generalizability, accountability, and transparency.
  • Most evaluated AI systems failed to meet ethical criteria like access and localized validation.
  • Technical proficiency alone is insufficient; ethical alignment is crucial for responsible AI implementation.

Conclusions:

  • The AI-Y Checklist offers a scalable framework to identify AI risks and guide ethical decision-making in public health.
  • Standardized evaluation and community co-design are vital for responsible AI.
  • Future research should focus on policy and governance to ensure AI advances health ethics.