A grassroots community initiative · June 2026

Hunter AI Commons.

Shaping AI, together, for the common good.
Working name, for the founding group to confirm · prepared by Matthew Griffin, M Griffin Consulting
01
The moment.
A human issue, whatever your starting point.
  • AI is entering work, schools, homes and public life faster than communities can absorb it.
  • Across the Hunter, people are concerned but unsure what they can do.
  • Pope Leo XIV's 2026 encyclical is one catalyst, but you need no faith to see what is at stake: dignity, livelihoods, children, truth and power belong to everyone.
02
The problem.
Concern without agency.
  • Change is outpacing understanding, and the public conversation swings between hype and doom.
  • Decisions are made far away, with no channel through which a community is heard.
  • So worry curdles into anxiety or rejection, and the harms land first on the least equipped: children, older residents, workers facing change.

Underneath it all sits a story: that none of this can be influenced. The next slide is our answer to that story.

03
The proposal.
AI doesn't just happen to us. It is built by people and shaped by choices, so we can have a say.
A standing commons: a shared place to understand AI and have a real say in how it is used, so that it serves human dignity and the common good.

A commons is something held and tended together, belonging to no one and to everyone. Open to every background, politics and belief. Not a campaign, not a tech club: a place where concern becomes understanding, and understanding becomes action.

04
What it does.
Four connected aims.

Unite and convene

A trusted place to come together across sectors, generations and beliefs, so concern is no longer carried alone.

Build AI impact literacy

Understanding AI as a force in society, not tool training: what is real, who holds power, where it helps and harms.

Empower practical action

Achievable steps for individuals, families, communities and businesses, matched to each person's capacity.

Advocate and set expectations

A collective voice articulating how AI should be governed and used, and holding decisions to it.

05
Why grassroots.
Concern expressed alone is easy to overlook. Concern that is organised, informed and local is hard to ignore.
An informed community turns unease into specific, legitimate expectations. Representatives attend to organised constituencies in their own electorates. And the model travels: a network of regional commons becomes a credible national civic voice on AI.
06
Our expectations.
What we would ask, at every level.
Local govt

Responsible AI in council services and procurement, digital inclusion, community safety.

State govt

Thoughtful AI in schools, health and policing; consumer protection; investment in the region's skills.

Federal govt

Meaningful regulation, limits on concentration of power, strong protections for children and workers, sovereignty.

Business, local

Transparent use of AI, fair treatment of workers through change, protection of customers and basic cyber resilience.

Business, global

Honesty, real safety and accountability, respect for affected communities, which is precisely why a network of local voices matters.

One expectation cuts through all of it: AI must not deepen existing disadvantage.
07
Taking action.
Ordinary people are not powerless.

As an individual

Stay informed and sceptical of hype and doom alike; choose which AI you trust with your data; raise concerns rather than accept poor practice in silence.

For your family

Talk openly with children about chatbots and synthetic images; guard against AI-enabled scams; keep human connection central.

In your community

Help raise understanding among neighbours, especially those most exposed; support schools; bring the conversation into groups you already belong to.

In your business

Adopt AI transparently; reskill rather than simply displace; protect data; weigh community effects, not only the bottom line.

First steps take minutes, and grow with each person's capacity. Every currency counts: time, skills, networks, or simply making an introduction.

08
Built properly.
Designed with the community, from day one.

The principles

  • Place-based and asset-based: starting from the Hunter as it actually is, beginning across Greater Newcastle (the Lower Hunter) and building out from there.
  • Co-designed, not consulted: the founding charter is written by those who gather.
  • Inclusive by design, with GEDSI practice and First Nations perspectives.
  • Do no harm, learning and adaptive, honest about uncertainty.

The first steps

  • Map who is most affected, and most at risk of exclusion, and invite them first.
  • A founding gathering built around listening.
  • One or two early, visible actions: children online, scam and cyber resilience.
  • Larger ambitions, research and sustained advocacy, once trust is earned.
09
The invitation.
AI doesn't just happen to us. We can have a say.
  • Your honest feedback: what resonates, what is missing, what you would change.
  • Whether there is interest in helping to lead and shape the Commons.
  • Early thoughts on where the Hunter might best start.

This is the beginning of a conversation, not a finished plan. The natural first step is a small gathering built around listening.

Matthew Griffin · M Griffin Consulting · hello@hunteraicommons.com