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Record STMT-W036464Advisory

Artificial Intelligence and Civil Liability

Report International lawEuropean Unionadopted

This study commissioned by the European Parliament analyzes the notion of artificial intelligence technologies and the applicable legal framework for civil liability. It argues that regulation should be technology-specific and presents a Risk Management Approach holding the party best capable of controlling technology-related risks strictly liable. The study applies this approach to four case studies including industrial robots, automated driving, medical robots, and drones to elaborate policy recommendations.

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

Who issued it

European ParliamentLegislature
Publisher
Legal forceAdvisory
Under whose authorityInternational law
Judged fromfull text

Who it governs

National governmentLegislatorsRegulatorsPublic sector bodiesResearchers and academics

Policymakers, legal scholars, and regulators seeking comprehensive analysis and recommendations on civil liability rules for artificial intelligence and emerging technologies in the European Union.

Sectors
Cross-sectorHealthcare · medical robots and diagnostic-assistive technologiesTransport and mobility · connected and automated driving

What the document contains

What's covered

The document covers the legal definitions of artificial intelligence, the adequacy of product safety and product liability frameworks in the European Union, the debate surrounding electronic personhood, and a proposed Risk Management Approach to civil liability applied to industrial robots, automated vehicles, medical technologies, and drones.

What's missing

The text does not provide binding legislative text, specific national jurisprudence outside of major comparative examples, or detailed technical specifications for non-software robotic architectures.

Key takeaways
  • Regulating artificial intelligence requires abandoning broad umbrella definitions in favor of a technology-specific, class-of-application approach.
  • Advanced technologies and artificial intelligence applications are products rather than legal subjects, thereby excluding the need for electronic personhood in most cases.
  • The current Product Liability Directive exhibits shortcomings regarding software coverage, development risk defenses, and the victim's burden of proof.
  • Civil liability rules should prioritize victim compensation through a Risk Management Approach holding the party in control of the risk strictly liable.
  • Specific technology domains such as industrial robots, automated vehicles, medical diagnostic systems, and drones require tailored liability frameworks.
Outline
· 1. The definition of AI, and its classification understanding complexity
· 2. AI-based applications as products, and electronic personhood
· 3. The European regime and its adequacy
· 4. A European approach to liability for AI-based applications
· 5. A Risk-Management Approach to the civil liability of AI-based applications: theoretical and methodological considerations
IssuedJuly 2020
Length78,581 words
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.

Human Oversight

3/5

Humans remain in control of consequential decisions

specific duties are imposed on the latter, such as a duty to supervise the driving task, and resume control

5.5.2

screening score · 2026-10-23

Transparency

3/5

Openness about how AI systems work and are used

pursue transparency through registration and disclosure duties, to identify those parties who bear an economic

EXECUTIVE SUMMARY

screening score · 2026-10-23

Enforcement

4/5

Consequences and compliance mechanisms with real force

strict – if not absolute – liability rules. Indeed, the RMA does not attempt to incentivize compliance with an intended conduct

EXECUTIVE SUMMARY

screening score · 2026-10-23

Topics

civil_liability artificial_intelligence product_safety risk_management robotics