Source: Macquarie University

Macquarie University examines the integration of explainable artificial intelligence (XAI) in neurosurgery and the associated legal liability concerns. As AI systems become increasingly involved in complex medical procedures, ensuring transparency and accountability in decision-making has become critical, particularly in high-risk fields like neurosurgery.

The article explores how XAI can help address legal challenges by making AI-driven recommendations more interpretable for surgeons, reducing the risk of medical errors. It also discusses the implications of AI failures in surgical settings, where unclear decision-making processes can complicate malpractice claims and accountability.

Legal experts highlight the need for clearer regulations on the use of AI in healthcare and stress the importance of incorporating explainability into medical AI systems to support patient safety and legal compliance.