THE RORT · DOSSIER · KMARTSTATUS · TRACKED
DOSSIER / ACTORCOMPANY · RETAIL

Kmart

Status Tracked

Found by the Privacy Commissioner to have unlawfully captured the face of every person who entered 28 of its stores using facial recognition technology, a finding Kmart has asked the Administrative Review Tribunal to review, with hearings scheduled for early 2027; a determination cannot carry a fine, only a court can.

First tracked
2026
Last on record
2026-10
Named in
2 articles
Across
2 cases

Named in 2 articles across 2 cases 20 connections: companies 7, mechanisms 1, regulators and bodies 5, agencies and departments 4, police 2, people 1

Key figure on file
No penalty in the release
The OAIC’s 18 September 2025 release announcing the Kmart finding does not mention a penalty. A determination cannot impose one; only a court can, on…
2
Articles naming it
2
Cases it recurs across
20
Linked in the graph
1
Figures on file

Fig. 01 / Where this name appears

Fig. 01Source: article scan · every article naming itAs of 2026‑10Auto-assembled

Fig. 02 / On the record

  1. No penalty in the releaseThe OAIC’s 18 September 2025 release announcing the Kmart finding does not mention a penalty. A determination cannot impose one; only a court can, on the Commissioner’s application, for conduct of this period, for a serious or repeated interference.Every person who entered →
Fig. 02Source: figures on file for this name, each tied to the article it came fromAs of 2026‑10Auto-assembled

How we know

The sources of the 2 articles that name Kmart, by the tier the desk declared. A source supports its article, not necessarily a claim about Kmart.

Evidence strength · 78 sources across 2 articles
  • Primary 44
  • Official 3
  • Masthead 10
  • Trade 11
  • 10 not yet graded
Primary
the document itself: legislation, a court record, a filing, a regulator’s own publication
Official
the organisation’s own statement about itself
Masthead
a news organisation with a corrections policy, reporting the primary document
Trade
specialist or trade press
How sources are graded

2 of 2 articles are graded on every headline finding. How findings are graded

Fig. 03 / Named together

KmartBunnings: named together in 2 articlesBunnings2The OAIC: named together in 2 articlesThe OAIC2Australian Clinical Labs: named together in 1 articleAustralian Clinical Labs1Cyber Security NSW: named together in 1 articleCyber Security NSW1Digital ID: named together in 1 articleDigital ID1Google: named together in 1 articleGoogle1Jacqui Lambie: named together in 1 articleJacqui Lambie1Medibank: named together in 1 articleMedibank1NPWS: named together in 1 articleNPWS1NSW Police: named together in 1 articleNSW Police1OpenAI: named together in 1 articleOpenAI1Optus: named together in 1 articleOptus1
The 12 names most often in the same articles as Kmart. A line's weight, and the number by each name, is how many articles name both. Grey chords join the neighbours most often named together themselves (two articles or more). Circles are people and organisations, squares are mechanisms. Named together is all this shows: it is not a finding about what the relationship is.
Fig. 03Source: article scan · articles naming bothAs of 2026‑10Auto-assembled

How this page is assembled. The name, status and role are the desk's entity record. The article list, case counts, connections and the figures under On the record are read by script from the published articles that name Kmart: the desk's key figures where it declared them, otherwise figures harvested from those articles. A connection is a name that appears in the same articles; it is not a finding about the relationship. Under How we know, the sources are those articles' references, counted once each and tiered only where the desk declared a tier; a grade beside an article is its weakest headline finding, shown only where every headline finding is graded. The page is rebuilt when an article is published or changed.

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