Layered interaction notice
Tell me I am dealing with AI before the interaction becomes consequential, then let me inspect the details.
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Vancouver / civic policy lab / monthly
AI Ethical
Futures Lab
Not a panel. A working room for people who want AI's possibilities without surrendering agency, accountability, or public voice.
Both hands full
We can be excited about what AI makes possible and serious about who has power, who carries risk, and who gets a say.
August 4 / AI transparency, power & trust
Does this give people more agency, or just more fine print?
Canada has opened a public consultation on AI transparency. We are bringing the actual questions into the room at Parker Street Studios.
We will pull apart disclosure labels, system cards, incident reporting, and AI agent receipts. Bring one interaction, system, incident, or agent you think people deserve to understand better.
- Format
- Small groups and hands-on policy work
- Hosts
- Kris Krüg, Tanya Slingsby, Jesi Carson
- Deadline
- Federal consultation closes September 23
The live federal question
Five places where transparency has to become useful.
A label is not accountability. The test is whether people can understand what is happening and then choose, refuse, contest, correct, reverse, or seek redress.
Open the Government of Canada consultation- 01AI-generated contentHow people can detect or identify synthetic media without drowning in labels.
- 02AI interactionsWhen people should know they are dealing with an AI system instead of a person.
- 03System informationWhat people need to know about an AI system, in language they can actually use.
- 04Serious incidentsHow consequential failures should be tracked, reported, and made available for scrutiny.
- 05AI agentsHow people can see what an agent did, under whose authority, and what can be undone.
From disclosure to agency
Three tools we can put in people's hands.
These are field-test prototypes, not finished policy. The room's job is to find the missing questions and the points where a neat template falls apart.
AI system information card
Make scope, limits, data use, ownership, and paths to recourse legible in one place.
Agent action receipt
Record what acted, what it was allowed to do, what changed, and how a person can reverse or contest it.
March 4 / The People's AI Consultation
The first room left receipts.
Jesi Carson designed and facilitated AEFL #1, then turned the small-group worksheets into a nine-page public report. It keeps economic justice beside creativity, job loss beside purpose, sovereignty beside the bigger boat.
The field note tells the story of the night. Jesi's report shows the actual work: the human-synthesized themes, the handwritten questions, and the ideas that did not collapse into one answer.
The room at work. Page 2 of the public report.
The human-synthesized themes. Page 3 of the public report.
Workshop, process design, facilitation, and report by Jesi Carson Creative.
The room has a memory
Conversation, consultation, then laptops out.
In March, the Lab worked through the People's AI Consultation. In May, people started mapping where civil society should show up. By July, the room was moving between power, access, disability, local infrastructure, labour, and public trust.
The format changes when the work demands it. The through-line is a real room, useful disagreement, and something people can carry forward.
What leaves the room
Public-safe notes. No forced consensus.
The August session may inform BC + AI's response to the federal consultation. Taking part does not mean you endorse a final submission. We do not attribute comments or quotes without consent.
Open the Lab's working hubAbout BC + AI
The rooms only stay open if the people who care help keep them open.
BC + AI is the member-supported nonprofit association growing out of Vancouver AI. Membership supports the rooms, working groups, follow-through, and people connecting practical AI work across British Columbia.
Related communities
Follow the question into another room.
Active reading and workshop community
Mind, AI, and Consciousness (MAC)
The deep reading room where BC + AI does the hard thinking about minds and machines.
Education special-interest group
Ed + AI: Education Meetup
A consent-first learning circle with Ethọ́s Lab for agency, access, and power in education.