The ethics of listening walls: patient autonomy and consent in the age of ambient clinical AI.
Where this comes from
- Record sourced from PubMed, PMID 42399409.
- Also identified by DOI 10.1038/s41746-026-02973-z and PMC identifier 13332017.
- Licence recorded as CC BY-NC-ND.
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Abstract
Ambient clinical AI scribes are rapidly adopted to reduce documentation burden and clinician burnout. While evidence shows efficiency gains, these always-listening systems raise significant ethical concerns around informed consent, autonomy, privacy, data governance, and trust. This paper examines patient perspectives, identifies regulatory and equity gaps, and argues for patient-centered consent, transparency, data minimization, and robust governance to ensure ethical deployment of ambient AI in clinical care settings.