Domain WRK

Working together and human review

Start here · Questions · Progress · People decide

Give people and AI assistants clear jobs, connected records and a dependable way to make decisions.

Question	What we are working out	AI-generated potential answers and research	Work state
WRK-01	How will people and AI assistants turn a useful question into evidence, choices and a recorded human decision?	AI-generated option: Use one traceable path from question to sources, alternatives, proposal, review, authorised work and observed result. Keep AI recommendations visibly labelled and preserve a person's actual decision, its scope and the evidence they considered. AI-generated future concept: Auras could prepare pre-reads and XR walkthroughs, while specialist AI/SI agents compare alternatives in parallel. Their contributions would retain source and task identities; councils, teams and committees would decide through their agreed human membership and delegations. Research examples: Managing records created using artificial intelligence · Australia's AI Ethics Principles	options ready
WRK-02	How will every question, drawing, test and decision keep a clear identity as the project grows?	AI-generated option: Give questions, drawings, releases, sources, tests and decisions stable identifiers and version histories. Link them through a common register, with content fingerprints for review packets and readable explanations so future contributors can reconstruct the work. AI-generated future concept: A future Aura could follow the evidence graph from a kiosk symptom to its design decision and test history. AI/SI agents could compare editions and explain changed assumptions before proposing updates for a person's review. Research examples: Managing records created using artificial intelligence	options ready
WRK-03	How will we share jobs between AI assistants and people while keeping one clear owner for each piece of work?	AI-generated option: Assign each job a clear owner, question IDs, file boundaries, source versions and expected result. Let people and AI assistants work in parallel, with one integration owner bringing the pieces together and a handover at each boundary. AI-generated future concept: Extend task cards to Aura, SI and robot work with explicit permissions, resource limits, supervision, stop conditions and receipts. A coordinator could schedule dependent work while actual people retain authority over new commitments and sensitive decisions. Research examples: Australia's AI Ethics Principles · Managing records created using artificial intelligence	options ready
WRK-04	How will a human decision stay connected to the exact proposal and the responsibilities of its reviewer?	AI-generated option: Record a person's decision against the exact proposal, evidence, role and scope they reviewed. Preserve conditions, reasons, disagreement and validity, and seek a new decision when a material bound part changes. AI-generated future concept: A person's Aura could compare the packet with their stated priorities and explain changes before they decide. Future signed personal delegations could allow narrowly bounded routine actions, with revocation and a clear record of what was done. Research examples: Australia's AI Ethics Principles · Managing records created using artificial intelligence	options ready
WRK-05	How will the repository and GitHub Wiki stay in step as evidence and decisions change?	AI-generated option: Build the public wiki from versioned source records, check links and identities, then record the exact source edition and publication result. Keep recoverable backups and make an interrupted update easy for the next person to finish. AI-generated future concept: Aura-assisted publishing could show a plain-language change summary and stage updates automatically after agreed checks. Future AI/SI maintainers could detect drift and prepare repairs, with access limited to the specific authorised publishing task. Research examples: Managing records created using artificial intelligence · Australia's AI Ethics Principles	options ready
WRK-06	How will each page welcome a person who is new to the project and learns by doing?	AI-generated option: Explain each page through a useful everyday task, plain words and a clear next action. Invite people with varied experience to try it, then improve wording and navigation from their questions and observed results. AI-generated future concept: A personal Aura could offer voice, translation, visual explanation or XR practice at the reader's chosen depth. Future adaptive teaching could use local task outcomes to suggest learning while public text remains complete and personally unprofiled access remains available. Research examples: Digital Performance Standard: measure service success · Australia's AI Ethics Principles	open