Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Establishing Liability in Medical Malpractice Due to Artificial Intelligence and Robotics Based Diagnostic and Therapeutic Interventions
0
Zitationen
3
Autoren
2024
Jahr
Abstract
Determining liability if a patient suffers an injury due to AI or robotic application use is complex. The study used comparative legal analysis and examined the current legal frameworks and whether applying current principles of medical liability is adequate to determine liability arising from AI and robotics-related medical malpractice. The study identifies the gaps in current legislation and proposes applying new legal doctrines such as vicarious liability, custodian liability, corporate liability, strict liability, and finally, applying the benefit and burden rule. AI and robotics will revolutionize medical care. However, new legislation is necessary to mitigate risk and ensure patient safety.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.