A Typology of Liability Rules for Robot Harms
This academic book chapter examines non-contractual liability rules for harms caused by intelligent and autonomous systems. It proposes a typology of approaches for addressing liability, maintains that the traditional robot-as-tool perspective should be preserved, and highlights the need for new computational and legal techniques to track responsibility effectively. The chapter discusses specific technological domains such as surgical robots, autonomous vehicles, and high-frequency trading.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, legal scholars, and practitioners interested in the intersection of artificial intelligence, robotics, and tort law.
What the document contains
The chapter covers non-contractual liability frameworks for robot-induced harms, analyzing how traditional legal doctrines apply to emerging autonomous technologies and proposing new methods for responsibility attribution.
The document does not provide binding legal regulations, statutory text, or enforceable enforcement mechanisms, as it is an academic position chapter.
- The traditional robot-as-tool perspective should be maintained for liability purposes.
- New computer science and law techniques are required to track responsibility when autonomous systems interact with their environment.
- Unique liability challenges arise in domains such as surgical robotics, autonomous vehicles, and high-frequency trading.
- Dominant manufacturers and knowledge monopolists may influence product liability litigation and shape industry standards.
· Abstract · Introduction and Background · Typology of Liability Rules · Application to New Technologies (Surgical Robots, Autonomous Vehicles, High-Frequency Trading) · Conclusion and Responsibility Tracking
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Specifically, new techniques need to be developed, at the intersection between computer science and law, to support reasoning about the liability implications when autonomous technologies interact with their environment and cause harms.
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-24
Transparency
2/5Openness about how AI systems work and are used
In this way, these firms might hope to avoid in-depth public scrutiny of their technology, both its merits and its shortcomings.
Notes
screening score · 2026-10-24
Enforcement
2/5Consequences and compliance mechanisms with real force
This also points to the important interactions between liability rules and intellectual property rights, a connection that could provide a strong incentive for large technology firms to favour an approach based on insurance payments and new forms of strict liability.
Notes
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-24