Source assessmentSupporting
Human workers as physical AI data generators: A socio-technical governance model for sustainable manufacturing transformation
Physical AI data governanceAcademic
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.
systems should be designed from the worker’s perspective, with data collection serving worker interests — ergonomic protection, ski ll development, fair recognition — as primary aims and organisational optimisation as a derived benefit.
Authority
1/2No rationale recorded.
World Journal of Advanced Research and Reviews, 2026, 30(03), 1969-1986 Publication history: Received on 19 May 2026; revised on 25 June 2026; accepted on 27 June 2026
Currency
2/2No rationale recorded.
Classification
Coverage topicPhysical AI data governance
PerspectiveAcademic
Lifecycle stage2 Collect & process data
Layerboth
GranularityNot recorded