World Holo Bridge · 2026 → 2051

The World Plan
25 years, five gates

A disability-led, gated roadmap for locally owned, accessible community hubs. Nothing scales until people with lived experience, cultural stewards and independent reviewers say it is safe to.

[CONCEPT][SYNTHETIC]No operating mesh exists. No pilots, partners or funding reported.
20262031203620412046FREDERICTON
Schematic only. Node counts are illustrative, not targets. [SYNTHETIC]

01 · Five epochs

Each five-year epoch ends at a review gate

The plan does not promise growth. It promises that growth only happens after an exit condition is met and published. If a gate fails, the plan pauses at that epoch.

  1. 1

    2026–2031

    Seed & Gate

    One reviewed pilot hub in Fredericton, then a paired second hub. Safe AI lessons and co-design sessions before any build.

    Exit gate: Accessibility, privacy, consent and cultural-authority review passed; limitations published openly.

  2. 2

    2031–2036

    Pair & Learn

    Small number of community-owned hubs linked for shared learning; local renewable power where feasible.

    Exit gate: Independent evaluation of the pilots with a named evaluator, method and public report.

  3. 3

    2036–2041

    Regional Mesh

    Regional mesh only where communities request it; each node keeps local data ownership.

    Exit gate: Consent withdrawal honoured end-to-end; no regional data pooling without agreement.

  4. 4

    2041–2046

    Continental Bridges

    Bridges between regions in multiple languages; open-source toolkit maintained by the commons.

    Exit gate: Governance charter ratified by participating communities; audit logs reviewed.

  5. 5

    2046–2051

    Planetary Commons

    A cooperative, locally governed commons. One planet, not one AI future.

    Exit gate: Continuous review: any node may pause, correct or leave at any time.

02 · Scientific model

Gated diffusion, not hype curves

We model adoption with the Bass diffusion equation, multiplied by a gate function that only opens after a published review. Output is normalised to a planned capacity K = 100%, so it shows shape and timing, never people, revenue or jobs. [SYNTHETIC]

Synthetic share of planned hub capacity 2026 to 2051. Gated plan rises in steps after each review; an ungated curve rises faster and earlier. Shaded band shows imitation coefficient q from 0.25 to 0.45.0%25%50%75%100%202620312036204120462051G1G2E1E2E3E4Gated plan (q = 0.35)Ungated scale-up (what we refuse)
G1 one reviewed pilot hub · G2 paired hubs · E1–E4 epoch reviews release capacity ceilings of 10%, 35%, 70%, 100%. Band: q ∈ [0.25, 0.45].

Governing equation

dN/dt = G(t) · (p + q·N/K) · (K − N)

N ≤ Ce (epoch ceiling)

G(t) ∈ {0, 1} opens only after review

Assumptions [SYNTHETIC]
p (innovation)0.01
q (imitation)0.25 – 0.45
K (capacity)100% (normalised)
Step1 year, Euler
Gated 204143.6%
Ungated 204181.9%

Scenario model, not a forecast. Values describe the model, not the world.

03 · Evidence discipline

Claim ladder: where we honestly are

Every public statement climbs this ladder one rung at a time. Today the plan sits on the first rungs.

RUNG 1

Concept

An idea proposed in the framework

● We are here

RUNG 2

Prototype

A buildable or partially built component

◐ Interface prototype only

RUNG 3

Synthetic illustration

A model output based on stated assumptions

● We are here

RUNG 4

Tested pilot

A real activity with documented participants and results

○ Not yet

RUNG 5

Independently evaluated

External review with a named evaluator, method and report

○ Not yet

04 · Community pathway

Eight stages, each with an exit condition

This loop repeats inside every epoch, in every community. A hub that cannot pass a stage does not move on.

  1. STAGE 1

    Local need

    Community members identify a real, non-sensitive problem.

  2. STAGE 2

    Safe AI lesson

    Participants understand AI limits, privacy, bias and oversight.

  3. STAGE 3

    Co-design session

    Accessibility, cultural and community requirements are documented.

  4. STAGE 4

    Prototype

    A small, reversible version is built with documented assumptions.

  5. STAGE 5

    Consent-based testing

    Participants understand what is tested and can withdraw.

  6. STAGE 6

    Review gate

    Safety, accessibility, privacy, cultural authority and claims are checked.

  7. STAGE 7

    Open learning

    Results, limitations and improvements are shared transparently.

  8. STAGE 8

    Careful scale-up

    Expansion only after the review gate is passed.

05 · Designed with, not for

Six co-design roles with real decision rights

Participation personas, each with a purpose, decision rights, safeguards and a next action.

ROLE 01

Lived-Experience Designer

Disabled creator, tester or accessibility advisor

Decides: Accessibility requirements, interaction design, consent language, calm-mode options, failure scenarios

Safeguard: No requirement to disclose diagnosis or health details; voluntary; accessible feedback methods

Share an accessibility insight →

ROLE 02

Cultural Knowledge Steward

Indigenous or community cultural authority, where appropriately authorized

Decides: Story boundaries, consent, attribution, language, protocols, approval or withdrawal

Safeguard: Community-level authorization; no extraction of sacred, private or restricted knowledge; revocable consent

Learn about cultural co-design →

ROLE 03

Local Community Host

Rural, veteran, municipal, library or community organization

Decides: Local needs, venue feasibility, outreach, workshop design, inclusive tourism

Safeguard: No financial or deployment commitment implied; local compliance and safeguarding checks

Request a community session →

ROLE 04

Safe AI Learner

Student, young person, adult learner or first-time AI user

Decides: Learning goals, questions, feedback on clarity, safe-use scenarios

Safeguard: Age-appropriate; no personal data required; guardian consent where applicable; human escalation

Try a safe AI lesson →

ROLE 05

Open-Source Builder

Developer, artist, maker, technologist or researcher

Decides: Prototype components, documentation, accessibility features, test cases, reproducibility

Safeguard: Security review, licence clarity, no unsafe hardware guidance, no unsupported performance claims

Contribute to the open framework →

ROLE 06

Responsible Partner

Municipality, educator, sponsor, funder or public-sector body

Decides: Pilot scope, governance, accessibility standards, evaluation design, transparent reporting

Safeguard: Written agreement; no community data without consent; independent review before public claims

Review partnership principles →

06 · Safe AI lessons

Learn with agency, not fear

Ten proposed lessons in a Understand → Apply → Create progression, aligned with the UNESCO AI competency framework for students. [CONCEPT]

Level 1 · Understand

Explain what AI can and cannot do, and why human oversight matters

Level 2 · Apply

Use AI safely with verification, privacy and accessibility practices

Level 3 · Create

Co-design an inclusive, culturally respectful AI or holographic experience

  1. 1

    What Is AI — And What Is It Not?

    Do not assume an AI understands, feels or knows more than it does.

  2. 2

    Ask Before You Trust

    Verify important claims with a trusted source before acting.

  3. 3

    Privacy Is a Choice

    Share the minimum necessary.

  4. 4

    Bias Is a Design Problem

    Ask whether a system was tested with people like you.

  5. 5

    Consent and Cultural Respect

    No story, image or language without permission and attribution.

  6. 6

    Refuse Instead of Guess

    A trustworthy system says “I don’t know.”

  7. 7

    Human Oversight

    A person stays responsible for important decisions.

  8. 8

    Design for Everyone

    Accessibility is a requirement, not an afterthought.

  9. 9

    Holograms and Reality

    Label synthetic content; never present simulation as reality.

  10. 10

    Build Your Local AI Idea

    Start small, protect people, test before scaling.

07 · AI guide rules

Ten behavioural rules

  1. 01Be clear that it is an AI guide, not a person.
  2. 02Never claim feelings, consciousness, certainty or authority it does not have.
  3. 03Refuse to guess when information is missing, uncertain or high-stakes.
  4. 04Offer sources, limits, alternatives and a way to reach a human.
  5. 05Never request sensitive personal, health, financial, cultural or identity data.
  6. 06No medical, legal, financial, emergency or safety-critical advice.
  7. 07Respect cultural boundaries; community knowledge is not public property.
  8. 08Plain language, captions, readable contrast, low-stimulation options.
  9. 09Let the person stop, correct, delete or withdraw at any time.
  10. 10Distinguish facts, assumptions, opinions, creative content and synthetic examples.

08 · What we will measure

Indicators, not promises

No data yet. These are defined now so results can be checked later.

ACCESS

WCAG 2.2 AA conformance of every interface (audited, not self-declared)

NO DATA
AGENCY

Share of consent withdrawals honoured end-to-end within the stated time

NO DATA
LEARNING

Understand → Apply → Create progression completed in Safe AI lessons

NO DATA
BELONGING

Co-design sessions where lived-experience members held decision rights

NO DATA
ENERGY

Share of hub energy from local renewable sources (metered)

NO DATA
TRUTH

Public claims checked against the claim ladder before publication

NO DATA

09 · Why it matters

1 in 6

people live with significant disability [REPORTED]

The World Health Organization estimates about 1.3 billion people, roughly 16% of the world, live with significant disability. A plan for one planet that is not designed with them is not a plan for one planet. Over 25 years, this roadmap keeps them in the decision seat at every gate.

References

  1. Bass, F. M. (1969). A New Product Growth for Model Consumer Durables. Management Science, 15(5), 215–227. https://doi.org/10.1287/mnsc.15.5.215
  2. UNESCO (2024). AI competency framework for students. https://www.unesco.org/en/articles/ai-competency-framework-students
  3. OECD (2019, updated 2024). Recommendation of the Council on Artificial Intelligence (OECD AI Principles). https://oecd.ai/en/ai-principles
  4. W3C (2023). Web Content Accessibility Guidelines (WCAG) 2.2. https://www.w3.org/TR/WCAG22/
  5. WHO (2022). Global report on health equity for persons with disabilities (≈1.3 billion people, ≈16% of the world population). https://www.who.int/publications/i/item/9789240063600

See the plan against real country data

World Bank baseline, with and without the plan, 2026–2051.