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It Is Not About AI, It's About Humans. Responsibility Gaps and Medical AI.

A Giubilini1

  • 1Uehiro Oxford Institute, University of Oxford, Littlegate House, 16-17 St Ebbes St, Oxford, OX11PT, United Kingdom. alberto.giubilini@uehiro.ox.ac.uk.

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Summary
This summary is machine-generated.

The language used for artificial intelligence (AI), particularly in healthcare, reflects human relationships and professional obligations. Analyzing terms like "responsibility" in medical AI prompts deeper reflection on existing healthcare ethics and duties.

Keywords:
AI ethicsAccountabilityMedical AIProfessionalismResponsibility in healthcare

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Area of Science:

  • Medical Ethics
  • Artificial Intelligence
  • Philosophy of Technology

Background:

  • Current discourse on artificial intelligence (AI) in healthcare frequently employs human-centric terminology.
  • This includes both descriptive terms (e.g., learning, memory) and evaluative terms (e.g., trust, responsibility).
  • The application of such language to AI, especially in medical contexts, raises questions about accountability and ethical frameworks.

Purpose of the Study:

  • To analyze the implications of using human-centric language, specifically evaluative terms like "responsibility," when discussing medical AI.
  • To explore how the concept of "responsibility gaps" in AI highlights pre-existing professional obligations in healthcare.
  • To argue that AI-related language often reveals more about human relationships and societal values than about AI itself.

Main Methods:

  • Conceptual analysis of language used in AI discourse, with a focus on medical AI.
  • Examination of the concept of "responsibility gaps" attributed to AI.
  • Philosophical reflection on the nature of professional obligations and responsibility in healthcare.

Main Results:

  • The terminology used for AI, particularly evaluative terms, reflects and illuminates existing human relationships and professional duties in healthcare.
  • "Responsibility gaps" associated with AI are not solely a product of the technology but highlight pre-existing aspects of healthcare professional obligations.
  • The language surrounding AI often serves as a mirror to human societal structures and ethical considerations.

Conclusions:

  • The discussion of AI in healthcare, especially concerning responsibility, offers an opportunity to re-examine and deepen our understanding of healthcare professional obligations.
  • The human-centric language applied to AI underscores the importance of human agency, ethics, and accountability in the integration of technology into healthcare.
  • AI's impact extends beyond technical capabilities, prompting critical reflection on the ethical foundations of medical practice.