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Applied & Industrial AI

Working concept · Think-tank track

Applied & Industrial AI

A working concept note from the BC + AI Ecosystem Think-Tank: an industrial-AI focus area only B.C. can deliver — where AI collides with manufacturing, resource sectors, clean energy, indigenous data sovereignty, and the gritty work nobody else is optimising.

Working concept
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Visual: BC + AI Ecosystem industry convening

The Challenge

An institute only B.C. can deliver.

Finance Minister Brenda Bailey put it bluntly at the Dillon Centre summit: “Before we beg Ottawa for an ‘AI institute’, we need to ask: do we actually need one? If yes, it has to be laser-specific — something only B.C. can deliver. My hunch? An institute where AI collides with industrial tech: manufacturing, resource sectors, the gritty work nobody else is optimising.”

This working paper braids that call for focus with the BC + AI ecosystem’s on-the-ground knowledge to articulate an idea worth co-building — first with local partners, then with Ottawa once the shape is locked.

Invitation

Universities, Crown corps, SMEs, Nations, and global allies are invited to critique, co-author, or claim pieces of this architecture.

Everything is iterated in the open. The paper is a starting point, not a position.

Read the working paper

Concept architecture

Six interlocking pieces.

Industrial-AI Labs

Where AI engineers and sector practitioners — manufacturing, mining, forestry, fisheries, clean energy — work shoulder-to-shoulder on real problems.

Clean-Compute Commons

Shared compute infrastructure built on B.C.’s clean grid. Public-interest access alongside commercial use.

Indigenous Data & Governance Hub

First Nations data sovereignty as a design principle, not an afterthought. Governance built with Nations from day one.

Skills Transition Studio

The retraining + redeployment layer for workers whose jobs reshape under AI. Trades and tradespeople, not just coders.

Venture Forge

A pipeline from research outputs into B.C.-grown industrial-AI companies — capital, mentorship, and patient procurement.

Responsible-AI Sandbox

Practical safety, audit, and red-teaming infrastructure where regulators, builders, and civil society work the same problems.

Where it fits

Inside the BC + AI ecosystem.

This is not a meetup chapter — it’s a working policy track. It draws on the same grassroots community as Vancouver AI, Surrey AI, the AI Ethical Futures Lab, and ED + AI, and feeds findings back into them.

The paper’s “Near-Term Ecosystem Tasks” section names the small, concrete moves we can take this year — convenings, demos, partnership letters — before the institute itself is provincial-scale infrastructure.

Get involved

Three ways in.

  • Critique the paper. Sharp readers welcome.
  • Co-author a section. Especially if you work in industrial tech, clean compute, or indigenous data governance.
  • Claim a piece. If your organization is already building one of the six components, we want to plug you in.
Get in touch

Public links

Read and share.

The working paper

Full concept note: challenge, strategic thesis, six-pillar architecture, governance skeleton, pilot menu, funding mix.

BC + AI Report 2024

The broader state of the BC + AI ecosystem this paper is grounded in.

BC + AI news + recaps

Recent policy positions, partner announcements, and the rest of the public ecosystem signal.

Related communities

Other rooms you might belong in.

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Civil society and policy

AI Ethical Futures Lab

The civil society and policy companion track: monitoring, public consultation, toolkits, and laptops-out sessions.

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Data & Security

The companion forming subgroup for privacy engineers, security practitioners, and data stewards in BC’s AI stack.

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