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Record STMT-WF354CBAdvisory

Forms of Robot Liability: Criminal Robots and Corporate Criminal Responsibility

Forms of Robot Liability Criminal Robots and Corporate Criminal Responsibility

Position paper State lawGlobalin force

This academic chapter examines the potential for holding robots criminally liable and evaluates corporate criminal responsibility (CCR) for harms caused by AI devices. The author concludes that subjecting robots directly to criminal punishment is neither conceptually nor practically feasible under current conditions. However, the text argues that corporate criminal responsibility can be extended to harms caused by AI devices, provided that corporations benefit from their use and exhibit negligence in designing, programming, or supervising the technology.

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

Who issued it

Cambridge University PressOther
Publisher
Legal forceAdvisory
Under whose authorityState law
Judged fromfull text

Who it governs

Researchers and academicsLegislatorsRegulatorsCompanies

Legal scholars, policymakers, and researchers interested in the intersection of criminal law, corporate liability, and artificial intelligence.

Sectors
Cross-sectorResearch and science · legal research

What the document contains

What's covered

The chapter explores the theoretical and practical feasibility of attributing criminal liability directly to autonomous robots and to corporations that deploy them. It assesses existing functionalist theories of robot personhood, examines the justifications and criticisms of corporate criminal responsibility (CCR), and proposes a framework for limiting corporate liability based on negligence, benefit, and control.

What's missing

The text does not provide specific legislative drafting language or mandatory technical standards for AI deployment, focusing instead on theoretical legal analysis.

Key takeaways
  • AI devices and robots cannot currently be held directly responsible under criminal law due to a lack of free will, moral understanding, and traditional punishability.
  • Imposing criminal liability on corporations (CCR) helps address the responsibility gap when individual human fault cannot be traced.
  • Extending CCR directly to robots without requiring human negligence would have a chilling effect on the development of AI technology.
  • Corporate criminal liability for robot-induced harm should be limited to instances where corporations benefit from the AI and exhibit negligence in programming, testing, or supervising it.
Outline
· I The Responsibility Gap
· II Robots as Criminals?
  - II.A Approximating the Responsibilities of Machines and Legal Persons
  - II.B Critical Differences
· III Corporate Criminal Responsibility for Robots
  - III.A Should There Be Corporate Criminal Responsibility?
  - III.B Legitimacy of CCR for Robots
  - III.C Regulating and Limiting Robot CCR
· IV Conclusion
IssuedNot recorded
Length6,382 words · 14 pages
FormatNot recorded
Scopeglobal

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

5/5

Clear responsibility for AI outcomes

This chapter considers two novel ways of imposing liability for harm caused by robots: holding robots themselves responsible for their actions, and corporate criminal responsibility (CCR).

I

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

4/5

Humans remain in control of consequential decisions

Potential control over the robot by a human agent of the corporation is thus a necessary condition for the corporation’s criminal liability.

III.C

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-23

Transparency

2/5

Openness about how AI systems work and are used

Second, many AI devices are designed to learn from experience and to optimize their ability to reach the goals set for them by collecting data and drawing “their own conclusions.”

I

screening score · 2026-10-23

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

screening score · 2026-10-23

Topics

robot_liability corporate_criminal_responsibility artificial_intelligence legal_personhood compliance