Source assessmentSupporting
The algorithmic blind spot: bias, moral status, and the future of robot rights
algorithmic bias and robot rightsAcademic
Assessment outcome
total 4/6 (actionability 1 + authority 1 + currency 2)
Total4/6
Actionability1/2
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
1/2No rationale recorded.
Addressing the algorithmic blind spot, we argue, requires re-centering ethical evaluation on human impacts, institutional responsibility, and the governance of algorithmic systems currently in operation.
Authority
1/2No rationale recorded.
Vol.:(0123456789) AI & SOCIETY (2026) 41:6973–6983 https://doi.org/10.1007/s00146-026-03003-y REVIEW The algorithmic blind spot: bias, moral status, and the future of robot rights Rahulrajan Karthikeyan1 · Moses Boudourides2 Received: 21 December 2025 / Accepted: 18 March 2026 / Published online: 2 April 2026
Currency
2/2No rationale recorded.
Classification
Coverage topicalgorithmic bias and robot rights
PerspectiveAcademic
Lifecycle stageN/A cross-cutting
Layerboth
GranularityNot recorded