A five-part article series explaining AI governance for the people who actually run communities — not the people who build AI.
Nine audience-specific editions. Five languages. One principle: your community decides how AI works for you.
Each edition contains five articles that take your community from "what is AI?" through to "what does a sovereign community platform actually look like?" The content is tailored to your context — a vestry member and a conservation group leader face different questions, so they get different articles.
The same core message, reframed for the people who need it. Choose the edition that speaks to your community.
For Episcopal and Anglican parishes
Written for vestry members, churchwardens, and parish leaders. Explores how AI can serve parish life without compromising theological integrity or pastoral care — framed in the language of stewardship, not Silicon Valley.
Read Parish Edition →For clubs, schools, alumni, neighbourhood groups
Tailored for the people who organise local life — committee chairs, school boards, and neighbourhood coordinators. Covers how community groups can adopt AI on their own terms, without surrendering member data to platforms they do not control.
Read Community Edition →For families preserving heritage and intergenerational connections
For families who want to preserve stories, photographs, and traditions across generations. Explains how AI can help organise a family's collective memory without handing it to corporations who will mine it for advertising data.
Read Family Edition →For small businesses, cooperatives, social enterprises
Written for owner-operators and small teams who need AI that works without Big Tech lock-in. Covers practical AI adoption for businesses of 2–50 people, with emphasis on data sovereignty, client confidentiality, and operational independence.
Read Business Edition →For environmental groups, citizen science projects
For conservation groups, field researchers, and citizen science networks. Explores how AI can assist species monitoring, habitat mapping, and community coordination — without sending sensitive ecological data through corporate cloud services.
Read Conservation Edition →For iwi, hapū, whānau, and indigenous communities
Grounded in Te Ao Māori, this edition addresses the specific sovereignty concerns of indigenous communities. Covers how AI governance intersects with tino rangatiratanga, data sovereignty (including the CARE Principles), and the protection of mātauranga Māori.
Read Indigenous Edition →For trustees, councillors, board members evaluating AI adoption
Written for people in governance roles who must decide whether and how their organisation adopts AI. Focuses on fiduciary responsibility, risk assessment, vendor evaluation, and the questions a board should ask before signing any AI contract.
Read Leadership Edition →For governance scholars and social scientists
For researchers studying digital governance, platform cooperativism, and community technology. Provides the theoretical framing and empirical evidence behind community-governed AI, with references to the Tractatus governance framework.
Read Academia Edition →For AI/ML researchers and safety researchers
For people building AI systems who want to understand what community-governed deployment looks like in practice. Covers the technical architecture of tradition-framed inference, 3-gate quality systems, and sovereign model hosting at community scale.
Read AI Research Edition →Every edition is being translated into all five languages. Translations are produced using DeepL and reviewed by native speakers.
Translations are being published progressively. Parish editions in all five languages are available now.
A press release accompanies this series, explaining the motivation and context behind community-governed AI.
Press Enquiries →All articles in this series are published under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). You are free to share and adapt the material for any purpose, provided you give appropriate credit to My Digital Sovereignty Ltd.