ADAPTIVE ETHICAL GOVERNANCE OF ARTIFICIAL INTELLIGENCE IN ROBOTIC SURGERY: REGULATORY CHALLENGES AND GLOBAL HEALTH PERSPECTIVES

Authors

  • Joaquim Duarte Cândido Chiulele

DOI:

https://doi.org/10.63330/sasciencesv6n2-010

Keywords:

Artificial Intelligence, Robotic Surgery, Ethical Governance, Digital Health, Global Health, AI Regulation

Abstract

Artificial Intelligence (AI) has increasingly transformed robotic surgery and contemporary healthcare systems, enhancing surgical precision, clinical decision-making and hospital efficiency. However, the rapid integration of AI technologies into healthcare environments raises significant ethical, regulatory and governance challenges related to algorithmic transparency, accountability, data protection and human oversight. This study aims to analyze the main ethical and regulatory challenges associated with AI-driven robotic surgery and to propose an Adaptive Ethical Governance Model aligned with international bioethical and digital health principles. A qualitative Systematic Literature Review (SLR) was conducted according to PRISMA 2020 guidelines, including 48 studies indexed in major international databases between 2018 and 2025. The findings indicate that existing governance frameworks remain insufficient to address emerging ethical risks, regulatory complexities and global inequalities associated with AI implementation in healthcare. The proposed framework integrates algorithmic transparency, continuous human oversight, adaptive regulation, institutional accountability and technological equity. The study contributes to the advancement of ethical AI governance by providing a multidimensional model applicable to robotic surgery and global health systems.

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Published

2026-06-09

How to Cite

Chiulele, J. D. C. . (2026). ADAPTIVE ETHICAL GOVERNANCE OF ARTIFICIAL INTELLIGENCE IN ROBOTIC SURGERY: REGULATORY CHALLENGES AND GLOBAL HEALTH PERSPECTIVES. South American Sciences, 6(2), 1–22. https://doi.org/10.63330/sasciencesv6n2-010

Issue

Vol. 6 No. 2 (2026): South American Sciences

Section

Artigos

License

Creative Commons License

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