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AI Ethics beyond Principles: Strengthening the Life-world Perspective.

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Ethical artificial intelligence (AI) development needs more than just principles. Focusing on human life-world practices enhances ethical judgment for AI in healthcare decision support.

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Area of Science:

  • Bioethics
  • Artificial Intelligence Ethics
  • Healthcare Decision Support

Background:

  • Ethical guidance for artificial intelligence (AI) development, particularly in healthcare, is critical.
  • Current approaches predominantly rely on principle-based ethics for AI implementation.
  • Limitations of principle-based ethics in complex, life-altering AI applications necessitate alternative frameworks.

Purpose of the Study:

  • To critique the sufficiency of principle-based ethics in AI development.
  • To advocate for a complementary ethical perspective grounded in the life-world and human practices.
  • To underscore the importance of ethical judgment sensitive to diverse life forms in AI decision-making.

Main Methods:

  • Review of classical criticisms of principle-based ethical theories.
  • Analysis of the implications of AI-driven decision support in healthcare.
  • Conceptual argument for integrating life-world perspectives into AI ethics.

Main Results:

  • Principles alone are insufficient to ensure ethical AI implementations.
  • Ethical judgment is shaped by the 'life-world'—the ensemble of practices influencing human lives.
  • AI decision-making in healthcare requires consideration of normative relevance of life forms and practices.

Conclusions:

  • Supplementing moral principles with a focus on life-world practices is essential for ethical AI development.
  • Ethical AI in healthcare demands a nuanced understanding of human practices and lived experiences.
  • A joint construction of reality, rather than mere control, should guide AI ethics.