Domain GOV

Community and operating responsibility

Start here · Questions · Progress · People decide

Work out who owns, maintains, reviews and supports the service, respecting local and cultural authority.

Question	What we are working out	AI-generated potential answers and research	Work state
GOV-01	What operating model would let Ready S.E.T. Co-op bring people, equipment, learning and continuing service together?	AI-generated option: Develop Ready S.E.T. Co-op through an organising group, a clear service purpose and a staged formation pathway. Compare interim hosting and co-operative models while specifying membership, assets, employment and agreements for the proposed kiosk service. AI-generated future concept: Prepare councils, teams and committees to work with Auras, XR, advanced AI/SI and robots through explicit mandates. Participation tools can grow while the rules identify actual members, voting rights, responsible people and the limits of delegated automated work. Research examples: Queensland: holding a co-operative formation meeting · Australia's AI Ethics Principles	open
GOV-02	How should people who would use or be affected by the service help shape it and see the result of their contribution?	AI-generated option: Invite residents, visitors, workers, community groups and people with varied access needs to try practical examples. Keep a public response record showing what changed, what remains contested and the next opportunity to influence the design. AI-generated future concept: Use accessible XR walkthroughs and Aura-assisted participation to let people explore a proposed kiosk in their own time. Summaries should distinguish each person's contribution from AI synthesis and give them an easy way to correct representation. Research examples: Digital Performance Standard: measure service success · Privacy and the use of commercially available AI products	open
GOV-03	Whose cultural guidance and permission should shape each place record, story, language item, map layer or lesson?	AI-generated option: Begin with relationships and permission from the relevant Quandamooka people for each knowledge item, place layer or lesson. Record who can decide, the agreed audience and uses, review arrangements and a practical withdrawal process. AI-generated future concept: Explore custodian-controlled permissions that accompany cultural material into Aura responses, XR scenes and learning resources. Future automated tools could check audience and reuse conditions before access, while custodians retain interpretation, release and review choices. Research examples: AIATSIS Research Ethics Framework	open
GOV-04	What should each host and equipment owner agree so a kiosk can be installed, used, maintained and handed over well?	AI-generated option: Use a clear host agreement for each site and an asset record for each item. Bring access, ownership, installation, maintenance, insurance, public use, closure and exit together so responsibility can continue through changes. AI-generated future concept: A shared digital twin could show approved site layouts, equipment history and maintenance tasks to authorised workers. Future inspection robots could submit observations, while qualified people assess findings and owners decide repairs or site changes. Research examples: Shoalhaven: Community Information Hubs Launched · Wellington Region: Community Emergency Hubs	open
GOV-05	How should each community verify voluntary contribution and choose the reciprocal recognition it values?	AI-generated option: Recognise one verified elapsed hour of voluntary human contribution as one C-Hour. Each community chooses reciprocal recognition; keep records correctable, count time once across projects and maintain separate records for money, paid work, machine time and outcomes. AI-generated future concept: A personal Aura could help someone keep a private contribution diary and submit only the agreed evidence. A privacy-preserving cross-project check could flag overlapping time for human correction without creating a public movement or personal-profile ledger. Research examples: Privacy and the use of commercially available AI products · Australia's AI Ethics Principles	open
GOV-06	How should people raise a concern, review an incident or conflict of interest, and keep the service accountable through changes?	AI-generated option: Provide an accessible route for concerns, incident review and conflicts of interest, with a named receiver and escalation path. Record what happened, the response and improvements, while protecting private and culturally restricted information. AI-generated future concept: Offer an Aura-assisted concern form that helps a person explain an issue without forcing a personal AI profile. Advanced AI/SI could identify recurring patterns in approved de-identified records, with accountable people checking interpretations and corrective actions. Research examples: Australia's AI Ethics Principles · Privacy and the use of commercially available AI products	open