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Record STMT-W3031B9Soft law

Dissecting liabilities in adversarial surgical robot failures: A national (Danish) and EU law perspective

White paper International lawEuropein forceNot AI-specific

This academic paper examines liabilities arising from adversarial cyberattacks on surgical robots from both a Danish national and European Union law perspective. It proposes a taxonomy for adversarial and non-adversarial failures in cyber-physical medical systems and evaluates how existing frameworks like the EU Medical Device Regulation and Danish tort and product liability apply. The authors also discuss administrative remedies such as the Danish Patient Compensation system as a streamlined mechanism for patient recovery.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

University of StrathclydeAcademic
Lead issuer
arXivAcademic
Publisher
Legal forceSoft law
Under whose authorityInternational law
Judged fromfull text

Who it governs

Researchers and academicsNational governmentRegulatorsCompanies

Researchers, legal scholars, and medical device manufacturers seeking to understand liability frameworks and cybersecurity challenges in surgical robotics.

Sectors
Healthcare · surgical roboticsResearch and science

What the document contains

What's covered

The paper covers the categorization of security and safety failures in surgical robotics, the application of the European Medical Device Regulation and proposed AI regulations, and an in-depth legal analysis of civil litigation and administrative patient compensation in Denmark.

What's missing

The text does not provide empirical case law specifically involving adversarial cyberattacks on surgical robots, as no such incidents have been publicly adjudicated in Denmark or Nordic courts.

Key takeaways
  • Surgical robots function as cyber-physical systems whose network connectivity exposes them to both safety and security failures.
  • The EU Medical Device Regulation governs surgical robots and imposes strict risk and quality management obligations on manufacturers, though it lacks literal references to cybersecurity.
  • Danish law provides multiple avenues for patient recovery, including product liability lawsuits, traditional tort claims, and the administrative Patient Compensation system.
  • Proving the causal link between a sophisticated cyberattack and patient injury in court presents significant evidentiary challenges for claimants.
  • Administrative compensation schemes like Denmark's Patient Compensation provide a technology-neutral and effective remedy by focusing strictly on equipment failure rather than underlying causes.
Outline
· 1 Introduction
· 2 Definitions
  - 2.1 Surgical Robots
  - 2.2 Cyberphysical Systems
  - 2.3 Adversarial failures
  - 2.4 Adversarial model
· 3 Legal Sources
· 4 The European Medical Device Regulation
  - 4.1 Background
  - 4.2 Guidance on Cybersecurity
  - 4.3 Manufacturers
  - 4.4 Regulators
  - 4.5 Comments on the MDR
  - 4.6 The Future AI Regulation
· 5 Danish law
  - 5.1 Product liability
  - 5.2 Patient Compensation Association
  - 5.3 Reimbursement Outside of Contract
  - 5.4 Adversarial Considerations
· 6 Additional Perspectives
· 7 Future Work
· 8 Conclusion
Issued31 January 2022
Length19,561 words · 43 pages
FormatNot recorded
Scoperegional

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

4/5

Clear responsibility for AI outcomes

The term sole responsibility refers to the manufacturer’s role as both the creator and controller in Article 10(12), in the sense that any non-compliance by the device has to be relayed to the regulator

4.3 Manufacturers

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

1/5

Protection of personal data and private life

inferring the surgical procedure to compromise patient privacy

2.3 Adversarial failures

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

screening score · 2026-10-23

Topics

surgical_robots cybersecurity product_liability medical_device_regulation patient_compensation