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Related Concept Videos

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.
Ethical Concerns in Healthcare:
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Ethical Dilemmas II01:30

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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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Ethical Dilemmas I01:17

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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.
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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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Ethical Standards I01:25

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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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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Foresight for ethical AI.

Stephen L Dorton1,2, Lauren M Ministero1, Balca Alaybek1

  • 1Social & Behavioral Sciences Department, The MITRE Corporation, Bedford, MA, United States.

Frontiers in Artificial Intelligence
|August 7, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) developers can better anticipate and prevent harms by using Naturalistic Decision Making (NDM) tools. These methods help identify risks in complex AI systems, ensuring more trustworthy and resilient AI development.

Keywords:
artificial intelligenceethicsforesightnaturalistic decision makingpolicypremortem

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Sociotechnical Systems

Background:

  • Growing expectation for AI developers to foresee and mitigate harms from AI creations.
  • Difficulty in mitigating harms due to emergent behaviors in complex sociotechnical systems.
  • Need for robust methods to ensure AI trustworthiness and resilience.

Purpose of the Study:

  • To propose Naturalistic Decision Making (NDM) principles, models, and tools as a solution for mitigating AI-related harms.
  • To demonstrate the applicability of NDM tools in identifying and preventing unintended consequences of AI.
  • To use predictive policing algorithms as a use case to highlight the effectiveness of NDM.

Main Methods:

  • Application of Naturalistic Decision Making (NDM) principles and tools.
  • Utilizing NDM tools, such as the premortem, to uncover potential risks.
  • Analysis of predictive policing algorithms to identify factors leading to ethical harms.

Main Results:

  • NDM tools are well-suited for tackling the challenge of emergent behaviors in AI.
  • NDM tools can uncover a reasonable set of risks leading to ethical harms.
  • NDM has been used to develop more trustworthy and resilient AI.

Conclusions:

  • NDM offers a viable framework for AI developers to proactively identify and mitigate potential harms.
  • Implementing NDM tools can lead to AI systems that avoid unintended negative consequences.
  • The use of NDM is crucial for responsible AI development, particularly in high-consequence domains.