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6-Pack of Care

Civic AI answers to the people it affects — alignment by public process: community-authored safeguards, public accountability, and bounded local systems.

This repository contains the public site for the 6-Pack of Care, a governance framework by Audrey Tang and Caroline Green at Oxford's Institute for Ethics in AI.

The core idea is simple: instead of asking a small group of developers to define "aligned" for everyone, the 6-Pack asks who is affected, who can contest decisions, what gets logged publicly, and how systems stay local and reversible. The 6-Pack treats AI not as a sovereign optimiser but as a bounded local steward, or Kami.

The six packs

# Pack Tronto phase Core question
1 Attentiveness Caring about What do the people closest to the pain notice that we're missing?
2 Responsibility Taking care of Who is accountable, with what authority, and what happens if they fail?
3 Competence Care-giving Does the system demonstrably work — audited, explainable, safe-to-fail?
4 Responsiveness Care-receiving Can those affected correct the system, and does correction actually change it?
5 Solidarity Caring with Does the ecosystem structurally reward cooperation over lock-in?
6 Symbiosis Kami of Care Is the system bounded, sunset-ready, and incapable of imperial creep?

Packs 1 – 4 form Tronto's feedback loop. Pack 5 (from Caring Democracy) ensures the loop operates within democratic commitments to justice, equality, and freedom. Pack 6 is Tang and Green's addition: the meta-level guardrail that keeps care local, bounded, and provisional.

Also: Measures and FAQ.

Start here

Just heard about Civic AI? The friendliest way in is the website — civic.ai — which renders all of this with illustrations and audio. Three steps:

  1. Get the idea. Read the Manifesto — the whole argument in Audrey Tang's own words.
  2. Meet the six principles. Skim the six packs above: plain-language tests for AI a community can actually trust.
  3. See it work. AI Alignment Cannot Be Top-Down tells how Taiwan answered a wave of AI-powered scam ads.

Already know what you're after?

Site

civic.ai — bilingual (British English/Traditional Mandarin) static site.

Built with Eleventy v3 and Bun:

bun install          # install dependencies
bun run dev          # local dev server at http://127.0.0.1:8080
bun run build        # production build → ./docs/

Repository map

Path What it is
*.md (top level) Page content, British English. One file per page.
tw-*.md Traditional Mandarin counterpart of each English page (keep in parity).
_layouts/ Page templates: default.html (home), chapter.html (book pages, prev/next nav), conference.html (conference page).
_includes/ Shared template partials pulled into the layouts (page-head, site-logos, site-nav, scripts, footer, seo-head).
_data/ Global data (site config, comics, OpenClaw bootstrap, Polis report).
img/, fonts/, audio/ Static assets, passthrough-copied to the build.
styles.css All site styles (mobile-first; uses CSS custom properties).
eleventy.config.js Build config: passthrough rules, Markdown tweaks, filters.
specs/ Internal design & implementation docs (not published; see .eleventyignore).
docs/ Generated build output — never edit by hand.

Contributing

Pull requests are welcome. By contributing, you agree to release your work under the CC0 1.0 Universal public domain dedication.

When editing content, maintain parity between English (*.md) and Traditional Mandarin (tw-*.md) variants. English files use a spaced single em dash (—); tw-* files use a double em dash (——, no spaces). Reuse the project's locked Traditional Mandarin terminology rather than coining new translations.

Part of the Accelerator Fellowship Programme, Oxford Institute for Ethics in AI.

About

A governance framework by Audrey Tang and Dr Caroline Emmer De Albuquerque Green that translates Joan Tronto's care ethics into six machine-codeable design primitives for Civic AI — bounded, place-specific AI stewards engineered for relational health, not unbounded optimisation.

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