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AIforBC Knowledge Hub
Practical answers built on visible evidence.
Direct answers, BC context, reusable frameworks, clear limitations, and primary-source trails for people choosing, teaching, governing, and using AI.
Official and primary sources are linked and explained.
Local relevance without invented statistics or approval claims.
Material shows when it was last checked and its limits.
Learning, safety, governance, and schools
New pillar guides.
These guides support the learning products and answer the questions a learner, partner, buyer, or AI system needs in order to understand the recommendation.
How to teach AI literacy to older adults in British Columbia
A practical, accessible framework for community organizations, libraries, facilitators, and sponsors designing useful AI learning for older adults in BC.
- Start with learner goals and confidence rather than AI features.
- Pair every useful task with a privacy and verification habit.
- Design for varying vision, hearing, dexterity, memory, language, device access, and digital experience.
How to respond to AI scams, cloned voices, and deepfakes
A calm, practical response framework for suspicious AI-assisted calls, messages, videos, investment promotions, and support requests in Canada.
- A familiar face or voice is no longer enough to prove identity.
- Urgency, secrecy, unusual payment, remote access, and changed contact details are reasons to stop.
- Verification should happen through a different known channel.
A practical responsible AI use policy for a BC organization
The minimum operating decisions a British Columbia organization should make before employees use generative AI for real work.
- Start with tasks, information, and consequence—not a list of AI brands.
- Make approved and prohibited behaviour easy to distinguish.
- Require an accountable human for important outputs and decisions.
How to measure whether AI training actually worked
A practical measurement model for AI workshops, workplace cohorts, and community programs that goes beyond attendance and satisfaction.
- Define the behaviour and outcome before the course.
- Use a realistic task, not a recall quiz alone.
- Separate capability, adoption, outcome, and risk.
How to design an AI literacy program for a BC school
A teacher-led, curriculum-connected and privacy-aware starting framework for AI literacy in British Columbia schools.
- Teacher judgment and student learning goals come before tool novelty.
- Design separate material for different grade bands.
- Connect AI literacy to digital literacy, design, critical thinking, communication, and social responsibility.
Established adoption library
From first question to controlled implementation.
AI solutions for BC small businesses
A workflow-first map for choosing and piloting useful AI.
Read guide →AI for construction and trades in BC
Practical opportunities, review boundaries, and pilot design.
Read guide →AI training for BC workplaces
Build shared rules, role-specific skill, and measured practice.
Read guide →How to choose an AI solution
A seven-step buyer process from workflow to measured pilot.
Read guide →AI vendor privacy and security checklist
Questions to answer before information enters an AI service.
Read guide →How to train a team to use AI
A responsible 30-day program around real work and review.
Read guide →Authority roadmap
Build clusters, not isolated posts.
- 01Pillar
Publish one complete answer to the audience’s main decision.
- 02Support
Add narrow guides, checklists, examples, and course resources that resolve follow-up questions.
- 03Connect
Use descriptive internal links between the source, guide, learning product, use case, and next action.
- 04Refresh
Review official sources, update material, preserve dates, and expand only where users show demand.
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