JOURNAL OF DIALECTICS OF NATURE
A Comprehensive, Academic Journal of the Philosophy, History, Sociology and Cultural Studies of Science and Technology
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LIAO Xinyuan
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Research Articles
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Human-Machine Coupling: A Solution to the Problem of Trust in Medical Artificial Intelligence Abstract: Trust plays a crucial role in clinical medical practice. However, artificial intelligence (AI) used for medical diagnosis faces the challenge of establishing trust in clinical applications due to the lack of sufficient transparency in its algorithms. This challenge can be further divided into two aspects: the “doctor-machine” trust and the “patient-machine” trust. Compared to approaches such as “breaking the black box” and viewing AI as a “second opinion”, the “human-machine coupling” approach better characterizes the relationship between AI and humans. According to this approach, an ideal AI for medical diagnosis should become part of the doctor’s cognitive process, forming a tightly coupled cognitive system with the doctor. This makes the system, rather than the machine itself, the entity that needs to be trusted. This approach provides a possible solution to the problem of trust in medical AI. Key Words: Medical artificial intelligence; Black box algorithms; Human-machine trust; Human-machine couplingIssue:Volume 47, lssue 9, September 2025Page: 1-9
JOURNAL OF DIALECTICS OF NATURE
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