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Question DAT 05

Luke Nathan Hayes edited this page Oct 20, 2026 · 5 revisions

DAT-05 What information should a person choose to share for help or personal AI guidance, and how should they control it afterwards?

Start here · Questions · Progress · People decide

Why this matters

People can gain useful support while keeping their private context separate from public information and from the next person using the kiosk.

What to bring back

A data and consent schedule showing necessary and optional fields, public/private separation, recipient access, retention, export, deletion, learning traces and shared-session clearing.

What we know so far

  • comprehensive rebuild plan — reviewed source; public copy can be added through the evidence process (Sections 4 and 8)
  • supporting research — reviewed source; public copy can be added through the evidence process (Aura personal operating system and GAJRA values)
  • Professional review and comparison of proposed improvements (When this work overlaps professional or public-authority responsibilities, compare the proposal and Luke's research with applicable industry/global best practice and relevant legal-engine sources. Record differences, reasonable improvements and deficiencies, with the responsible reviewer and response. Routine authorised drafting and wiki work can advance.)
  • Proposed councils, teams and committees model for the Aura age (Proposed shared handbook home, organising meeting, XR/Aura/AI/SI/robot participation, delegated tasks and records; adoption and appointments are development milestones.)
  • Council plan crosswalk and proposed Aura integration (Relevant question row identifies the management/recovery source section and printed/PDF page. AI-generated analysis, 21 October 2026; proposed checks and actual review/operating agreements retain separate status.)

AI-generated potential answers

For discussion and review · research checked 2026-10-20. These are AI-generated options and transfer assessments. The user's request and research method identify the source of this work. The source catalogue states what the references establish. The decision and approval record retains its own status.

Collect the least information needed for the agreed help task, keep optional Aura context under the person's control and separate public records from private casework. Explain recipients, retention, correction, export and deletion before sharing.

Existing-practice adaptation

AI-generated adaptation of an existing pattern. Carry out a privacy impact assessment and create field-by-field collection notices. Use fictional records in demonstrations; give a person a clear request receipt and a practical route to correct information or end a shared session.

Research basis: Privacy and the use of commercially available AI products.

Future concept to explore

AI-generated future concept. Explore a personal Aura-held profile that releases only the selected information for a particular task, with expiring permissions and a readable sharing receipt. Test how withdrawal affects cached copies, backups and already-completed actions.

Examples and local differences

  • Privacy and the use of commercially available AI products: AI transfer assessment: Assess AI-product data flows and privacy choices before connecting personal information. Local difference to check: OAIC guidance informs the assessment; applicable Commonwealth and Queensland laws depend on the actual operator, records and activities.

Evidence to bring back next

  • Map every proposed recipient, device, vendor and cross-border data flow.
  • Have the applicable privacy and retention duties reviewed before using real personal information.

People and connected choices

Who reviews: Luke, as project initiator, develops the privacy proposal for review. People choose optional disclosures; the actual receiving service and accountable data steward assess applicable professional and legal requirements and confirm necessary records, access and retention arrangements.

Connected questions: OPS-05, DAT-02

Work state: open. Assigned person or AI assistant: Ready to be assigned.

Research and alternatives can move ahead while connected decisions develop. Before acting on a choice, check the people, evidence and approved scope in People decide.

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