Autonomous Surgical Robots: The Malpractice-Product Liability Boundary
This article examines the legal boundary between medical malpractice and product liability as surgical robots gain increasing autonomy. It introduces the Autonomy-Control-Risk Attribution (ACRA) framework to help determine when liability should remain centered on medical malpractice, shift toward product liability, or be shared among clinicians, healthcare institutions, and manufacturers. The framework evaluates the autonomous function involved, meaningful human control, risk provenance, informational control, and interaction-based failures to prevent surgeons from becoming a moral crumple zone.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Legal scholars, policymakers, and medical professionals should read this to understand liability boundaries for autonomous surgical robots.
What the document contains
The paper addresses the intersection of tort law, artificial intelligence, and robotic surgery, specifically focusing on liability attribution between medical malpractice and product liability when surgical systems exhibit increasing autonomy.
The text does not provide binding statutory legislation or specific courtroom case rulings, focusing instead on a theoretical academic framework for legal analysis.
- Increasing autonomy in surgical robots challenges the traditional boundary between medical malpractice and product liability.
- The Autonomy-Control-Risk Attribution (ACRA) framework evaluates harm-producing functions, human control, risk provenance, and informational control.
- Medical malpractice remains appropriate when clinicians retain effective control over clinical risks.
- Product-side liability gains weight when harm arises from hardware, software, or algorithms that clinicians cannot reasonably control.
- Concurrent liability is recommended when control is distributed among multiple actors to avoid unfair surgeon accountability.
· Abstract · Introduction · Conceptual Framework / Theory · Methodology · Findings and Discussion · Conclusion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
Where clinicians retain effective control over the relevant clinical risk, malpractice should remain the primary liability regime.
Abstract
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
Where harm arises from hardware, software, algorithms, warnings, or autonomous behavior that clinicians could not reasonably detect or control, product-side liability should gain greater weight.
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
ACRA examines the harm-producing autonomous function, the existence of meaningful rather than merely nominal human control, the provenance of the materialized risk, informational control, and interaction-based failures.
Abstract
screening score · 2026-10-23