Back to search

Article

From Human Oversight to Human-in-the-Loop: Evolving Governance of Human–AI Interaction in Healthcare and AI Development

2026-02-28

Abstract excerpt

<h4>Background: </h4> Artificial intelligence (AI) has moved from research labs into the everyday work of clinicians and software engineers. In healthcare, AI systems now shape triage, imaging interpretation, risk prediction and documentation workflows, while in computer science and AI development, models are increasingly used to generate code, tests and even other AI systems [1–4,7,10,11,76–82]. Early governance...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d04aadb1-a19a-519a-a550-85346d1c0699
DOI
10.20944/preprints202602.1949.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
From Human Oversight to Human-in-the-Loop: Evolving Governance of Human–AI Interaction in Healthcare and AI DevelopmentDOI 10.20944/preprints202602.1949.v1
Human-Centered Design of an Artificial Intelligence (AI) Monitoring System: The Vanderbilt Algorithmovigilance Monitoring and Operations System (VAMOS)Semantic proximity
Managing AI-Enabled Uncertainty in Clinical AI Deployment: Mixed-Methods Study of Governance, Workflow, and Organizational Learning in an ICU Decision Support PilotSemantic proximity
Beyond AI Transparency: A Reproducibility-Centred Governance Framework for Adaptive Generative AI Across the Medical Research LifecycleSemantic proximity
From Trustworthy AI to Superintelligence Governance: Lessons from the ALTAI Framework and SHAPES PilotsSemantic proximity
Clinical MLOps: A Framework for Responsible Deployment and Observability of AI Systems in Cloud-Native Healthcare PlatformsSemantic proximity
From Loop to Partnership: A Framework for Understanding the Evolving Paradigms of Human-AI CollaborationSemantic proximity
Enterprise AI Assurance Framework for Biomedical Diagnostics: A Human-Centered Approach for Trustworthy, Explainable, and Safe Artificial Intelligence SystemsSemantic proximity
Evaluating the Human Safety Net: Observational study of Physician Responses to Unsafe AI Recommendations in high-fidelity SimulationSemantic proximity
Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary ModelsSemantic proximity
Safety, Hallucination, and Failure Modes in Agentic Health AI: A State-of-the-Art ReviewSemantic proximity
A Systematic Literature Review on Transparencyand Interpretability of AI models in Healthcare:Taxonomies, Tools, Techniques, Datasets, OpenResearch Challenges, and Future TrendsSemantic proximity
A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical PracticeSemantic proximity
Select a neighboring publication to make it the new centre.