Kazakhstan’s new healthcare rules will decide who is liable for AI errors

Published October 27, 2026 03:00

Olesya Bassarova

Olesya Bassarova

General News Correspondent o.bassarova@kursiv.kz
Yerlan Iskakov

Yerlan Iskakov

Senior Journalist ye.iskakov@kursiv.media
медицина
Photo: Pexels, photo editor: Adelina Mamedova

Kazakh Member of Parliament Askhat Aimagambetov has announced plans to develop amendments to health care legislation addressing the safety of AI-powered medical systems, patient data protection and liability for errors arising from the use of these technologies.

In a post on his Telegram channel, Aimagambetov noted that people in Kazakhstan are already turning to AI for health-related advice, while medical professionals are increasingly incorporating neural networks into their work.

«AI has enormous potential, from analyzing medical images and processing data to identifying health risks and supporting clinical decision-making,» the lawmaker said.

AI, Medical Advice
Photo: Shutterstock

Read also: Why using AI for medical advice could be a fatal flaw.

However, Aimagambetov stressed the need for a legal framework governing the use of AI in medicine. He raised questions about how these systems are tested for safety, who can access medical data and how patient confidentiality is protected.

«Who is liable if the use of AI leads to an error? It is particularly important to distinguish between a general-purpose chatbot, which someone might consult for advice, and a medical system that has undergone rigorous, mandatory validation,» he said.

The proposed amendments are intended to establish requirements for quality and safety, data protection, cybersecurity, ethical standards and accountability among all parties involved.

Read also: Your next therapist could be an AI: Kazakhstan launches hospital trials.

AI doctor
Image generated by a neural network, photo editor: Milosh Muratovskiy

AI tools are being introduced into Kazakhstan’s health care system

AI technologies are already being introduced at health care facilities across Kazakhstan. The country has also begun testing a neural network designed to identify the risk of heart failure at an early stage using a standard electrocardiogram (ECG).

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