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A Typology of Liability Rules for Robot Harms

Liability rules for robot harmsAcademicdocument

Assessment outcome

total 1/4 (actionability 0 + authority 1); currency unscored, so pro-rated to 1.5/6

Total1/6
Actionability0/2
Authority1/2
Currency—

Authorship & scope

Attribution (G4 evidence)

The author of the paper is explicitly named as Sjur Dyrkolbotn.

Issuer authority (evidence)

Level 1: Authored by an academic researcher at Utrecht University, representing a reputable institution acting officially.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

HTTP 200, 2237 words of full text extracted

G2 · AI nexuspass

The paper focuses specifically on liability issues for artificially intelligent systems and robots.

G3 · Governance nexuspass

The source explicitly addresses legal liability rules and governance frameworks for intelligent systems.

G4 · Attributablepass

The author of the paper is explicitly named as Sjur Dyrkolbotn.

G5 · In forcepass

There is no text indicating that this academic publication has been superseded, retracted, or repealed.

Scored criteria

Actionability

0/2

Level 0: Description and analysis only, with no specific obligations or binding steps outlined for readers to follow.

Authority

1/2

Level 1: Authored by an academic researcher at Utrecht University, representing a reputable institution acting officially.

Department of Philosophy and Religious Studies, Utrecht University, Utrecht, The Netherlands Sjur Dyrkolbotn

Currency

—

computed: no publish/modified date found on the page (never guessed)

Classification

Coverage topicLiability rules for robot harms
PerspectiveAcademic
Lifecycle stageN/A cross-cutting
Layerboth
Granularitydocument
A Typology of Liability Rules for Robot Harms · CEI AI Governance Database