A REPARAÇÃO DO DANO CAUSADO POR SISTEMAS DE INTELIGÊNCIA ARTIFICIAL NA SAÚDE

Authors

  • Sara Santos PUCPR_Câmpus Londrina
  • Patricia Eliane da Rosa Sardeto PUCPR

DOI:

https://doi.org/10.17564/2316-381X.2026v10n3p227-241

Abstract

ABSTRACT

This study analyzes the civil liability mechanisms applicable to damages caused by Artificial Intelligence (AI) systems in healthcare. The research was conducted using the systemic method, involving a systematic literature review (2015-2025) and a jurisprudential survey in Brazilian courts. Results showed that system opacity ("black box") and algorithmic biases hinder the application of traditional subjective and strict liability models, and revealed a jurisprudential vacuum on the subject in Brazil. Inthis context, the study concludes with the possibility of adopting a hybrid civil liability regime, proposing strict liability for developers and providers based on risk theory and maintaining subjective liability for healthcare professionals, reconfigured through a technological duty of care.

Keywords: 1. Artificial Intelligence. 2. Civil Liability. 3. Damage. 4. Health. 5. Medical Law.

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Author Biography

Sara Santos, PUCPR_Câmpus Londrina

Graduanda em Direito e membro do Grupo de Pesquisa em Direito e Inovação Tecnológica da Pontifícia Universidade Católica do Paraná – PUCPR, Câmpus Londrina, e-mail:saralupiondossantos@gmail.com, https://lattes.cnpq.br/0137465156433073.

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Published

2026-06-16

How to Cite

Santos, S., & Sardeto, P. E. da R. (2026). A REPARAÇÃO DO DANO CAUSADO POR SISTEMAS DE INTELIGÊNCIA ARTIFICIAL NA SAÚDE. Interfaces Científicas - Direito, 10(3), 227–241. https://doi.org/10.17564/2316-381X.2026v10n3p227-241

Issue

Vol. 10 No. 3 (2026): Fluxo Contínuo

Section

Artigos

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