Artificial intelligence and liability in health systems across the WHO European region: policy brief

The rapid adoption of artificial intelligence (AI) in health systems across the WHO European Region is introducing technologies with increasing levels of complexity, opacity and autonomy, creating new challenges for patient safety, accountability and liability. While liability frameworks traditionally provide protection and compensation for harm and incentivize responsible behavior, existing rules may not adequately address situations where AI contributes to clinical decisions. The complexity of AI systems can make it difficult for patients to establish faults and causations, while uncertainty over responsibility between manufacturers, healthcare professionals and organizations may create gaps in accountability. This policy brief examines challenges and gaps in liability frameworks for AI in health and proposes measures to strengthen accountability, clarify responsibilities, and improve access to redress across the WHO European Region.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-11-10
DOI
https://doi.org/10.3389/fdgth.2026.2019385
Primary Topic
Digitalization, Law, and Regulation
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence and liability in health systems across the WHO European region: policy brief

Keyrellous Adib, David Novillo-Ortiz, Lucius Klobucnik, Felicitas Muth
Frontiers in Digital Health
Digitalization, Law, and Regulation
article

Artificial intelligence and liability in health systems across the WHO European region: policy brief

Keyrellous Adib, David Novillo-Ortiz, Lucius Klobucnik, Felicitas Muth
article en

Abstract

The rapid adoption of artificial intelligence (AI) in health systems across the WHO European Region is introducing technologies with increasing levels of complexity, opacity and autonomy, creating new challenges for patient safety, accountability and liability. While liability frameworks traditionally provide protection and compensation for harm and incentivize responsible behavior, existing rules may not adequately address situations where AI contributes to clinical decisions. The complexity of AI systems can make it difficult for patients to establish faults and causations, while uncertainty over responsibility between manufacturers, healthcare professionals and organizations may create gaps in accountability. This policy brief examines challenges and gaps in liability frameworks for AI in health and proposes measures to strengthen accountability, clarify responsibilities, and improve access to redress across the WHO European Region.

Frontiers in Digital HealthVol. 8
Aston University (GB), World Health Organization Regional Office for Europe (DK)
Digitalization, Law, and Regulation
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