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Robots Can Feel: LLM-based Framework for Robot Ethical Reasoning

Robot ethical reasoning frameworkAcademic

Assessment outcome

total 3/6 (actionability 0 + authority 1 + currency 2)

Total3/6
Actionability0/2
Authority1/2
Currency2/2

Authorship & scope

Attribution (G4 evidence)

No evidence recorded for this source.

Issuer authority (evidence)

No evidence recorded for this source.

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

Eligibility gates

G1 · Retrievablepass

Passed in screening.

G2 · AI nexuspass

Passed in screening.

G3 · Governance nexuspass

Passed in screening.

G4 · Attributablepass

Passed in screening.

G5 · In forcepass

Passed in screening.

Scored criteria

Actionability

0/2

No rationale recorded.

Authority

1/2

No rationale recorded.

The authors are with the Intelligent Space Robotics Laboratory, Center for Digital Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia

Currency

2/2

No rationale recorded.

Classification

Coverage topicRobot ethical reasoning framework
PerspectiveAcademic
Lifecycle stage1 Plan & design
Layermodel
GranularityNot recorded