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Designing Social Robots with Ethical, User-Adaptive Explainability in the Era of Foundation Models

Ethical user-adaptive explainability in social roboticsAcademic

Assessment outcome

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

Total3/6
Actionability1/2
Authority0/2
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

1/2

No rationale recorded.

We outline four recommendations for user-adapted explainability. Recommendation 1: Design modality- and user-aware explanation strategies.

Authority

0/2

No rationale recorded.

Designing Social Robots with Ethical, User-Adaptive Explainability in the Era of Foundation Models Fethiye Irmak Doğan∗ University of Cambridge Cambridge, United Kingdom fid21@cam.ac.uk Alva Markelius∗ University of Cambridge Cambridge, United Kingdom ajkm4@cam.ac.uk Hatice Gunes University of Cambridge Cambridge, United Kingdom hg410@cam.ac.uk

Currency

2/2

No rationale recorded.

Classification

Coverage topicEthical user-adaptive explainability in social robotics
PerspectiveAcademic
Lifecycle stage1 Plan & design
Layermodel
GranularityNot recorded