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Source assessmentContext only

Toward Ethical Natural Language Generation for Human-Robot Interaction

Ethical natural language generation in HRIAcademictopic page

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)

Tom Williams is clearly named as the author with his institutional affiliation.

Issuer authority (evidence)

Level 1: Reputable institution acting officially, published as an ACM/IEEE conference companion paper.

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

Eligibility gates

G1 · Retrievablepass

HTTP 200, 1561 words of full text extracted

G2 · AI nexuspass

The source explicitly focuses on natural language generation algorithms for human-robot interaction.

G3 · Governance nexuspass

The text directly addresses ethical implications and moral influence in human-robot interaction.

G4 · Attributablepass

Tom Williams is clearly named as the author with his institutional affiliation.

G5 · In forcepass

There is no indication on the page that this version has been superseded, retracted, or withdrawn.

Scored criteria

Actionability

0/2

Level 0: Description or analysis only, arguing that robots asking for clarification may communicate unethical willingness.

Authority

1/2

Level 1: Reputable institution acting officially, published as an ACM/IEEE conference companion paper.

HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

Currency

—

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

Classification

Coverage topicEthical natural language generation in HRI
PerspectiveAcademic
Lifecycle stage1 Plan & design
Layermodel
Granularitytopic page