Managing a “responsibility vacuum” in AI monitoring and governance in healthcare: a qualitative study

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Qualitative analysis highlights the responsibility vacuum affecting AI and machine learning oversight, suggesting urgent policy reforms.

The lack of oversight creates a responsibility vacuum, risking patient safety and equitable care.
Participants acknowledged that AI models degrade over time from issues like data drift and poor generalizability.
Many institutions neglect AI maintenance, favoring rapid innovation which perpetuates governance gaps.
Grassroots efforts in monitoring AI systems draw from other fields, showcasing potential collaborative solutions.

Owens et al. (2025) studied this question.

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