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Participatory Technology Assessment in AI Development for Sleep Medicine.

Srushhti Trivedi1,2, Friederike Seyderhelm1,3, Robert Kossen1

  • 1University Medical Center Göttingen, Dpt. of Medical Informatics, Germany.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

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Participatory Technology Assessment (pTA) is crucial for ethical Artificial Intelligence (AI) in sleep medicine. Engaging patients ensures AI respects privacy, avoids bias, and benefits everyone.

Area of Science:

  • Medical Ethics
  • Artificial Intelligence
  • Sleep Medicine

Background:

  • AI is rapidly advancing in sleep medicine using big data.
  • This raises ethical concerns: patient privacy, data security, and algorithmic bias.
  • Sleep data is sensitive, risking re-identification and misuse.

Purpose of the Study:

  • Advocate for Participatory Technology Assessment (pTA) in AI for sleep medicine.
  • Establish pTA as essential for ethical AI development.
  • Promote a shift from expert-driven to democratically legitimate AI.

Main Methods:

  • Informed by discourse ethics.
  • Engaging diverse stakeholders, especially patients.
  • Focusing on issues like consent and data control.
Keywords:
ethicspatient participationsleep medicine

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Main Results:

  • pTA addresses socio-political and pragmatic necessities for stakeholder involvement.
  • It fosters higher acceptance and resolves value conflicts.
  • Builds social trust and provides policy insights.

Conclusions:

  • pTA is vital for ethically developing AI in sleep medicine.
  • It ensures AI innovation serves the collective good.
  • Democratizes AI development through patient engagement.