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Analysis of the Performance of Different Accountability Strategies for Autonomous Robots

Autonomous robot accountability and logging strategiesAcademicdocument

Assessment outcome

total 0/4 (actionability 0 + authority 0); currency unscored, so pro-rated to 0.0/6

Total0/6
Actionability0/2
Authority0/2
Currency—

Authorship & scope

Attribution (G4 evidence)

The authors of the chapter are explicitly named.

Issuer authority (evidence)

Level 0: Authored by individual university researchers as a conference paper, not official regulation, standard, or explicitly stated peer-reviewed article.

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

Eligibility gates

G1 · Retrievablepass

HTTP 200, 1327 words of full text extracted

G2 · AI nexuspass

The source focuses primarily on autonomous robots and algorithmic accountability strategies.

G3 · Governance nexuspass

It directly addresses accountability and auditing mechanisms for robotic systems.

G4 · Attributablepass

The authors of the chapter are explicitly named.

G5 · In forcepass

There is no indication on the page that this version is superseded or retracted.

Scored criteria

Actionability

0/2

Level 0: The text only describes and analyzes a system design, providing no specific binding obligation, control, or procedural duty.

This work presents a generic approach to developing an accountability system that consists of four main components: a system event logger, a message producer, a distributed event streaming platform, and a database.

Authority

0/2

Level 0: Authored by individual university researchers as a conference paper, not official regulation, standard, or explicitly stated peer-reviewed article.

Fernández-Becerra, L., Guerrero-Higueras, Á.M., Rodríguez-Lera, F.J., Fernández-Llamas, C. (2022). Analysis of the Performance of Different Accountability Strategies for Autonomous Robots.

Currency

—

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

Classification

Coverage topicAutonomous robot accountability and logging strategies
PerspectiveAcademic
Lifecycle stage6 Operate & monitor
Layermodel
Granularitydocument