What we’re about
Join us for a variety of events on technical AI safety, governance in a world of advanced AI, and more.
Hosted by Trajectory Labs, a nonprofit coworking and events space catalyzing Toronto's role in steering AI progress toward a future of human flourishing.
Is there a topic you'd love to see us cover at a future event? Submit your suggestion here.
Upcoming events
7
AI Policy Tuesday: Open Global Investment as a Governance Model for AGI
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CARegistration Instructions
This is a paid event ($5 general admission, free for students & job seekers) with limited tickets - you must RSVP on Luma to secure your spot.Event Description
Kathrin Gardhouse will walk us through Nick Bostrom's recent paper Open Global Investment as a Governance Model for AGI.
We'll discuss its merits compared to other alternatives, such as a Manhattan Project or CERN for AI, assuming short AGI timelines.Event Schedule
6:00 to 6:30 - Food & introductions
6:30 to 7:30 - Presentation & Q&A
7:30 to 9:00 - Open discussionIf you can't attend in person, join our live stream starting at 6:30 pm via this link.
This is part of our weekly AI Policy Tuesdays series. Join us in examining questions like:
- How should AI development be regulated?
- What are the economic and social implications of widespread automation?
- How do we balance innovation with safety considerations?
- What governance structures are needed for safer AI?
6 attendees
AI Safety Thursday: Monitoring LLMs for deceptive behaviour using probes
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CAHow can we detect when AI intends to deceive us?
Registration Instructions
This is a paid event ($5 general admission, free for students & job seekers) with limited tickets - you must RSVP on Luma to secure your spot.LLMs show deceptive behaviour when they have incentive to do so, whether it's alignment faking or lying about its capabilities. A work earlier this year at Apollo proposed using linear probes that detect such behaviour using model’s internal activations.
In this talk Shivam Arora, will share details on how these probes work and share his research experience on a follow up work to improve them conducted as part of a fellowship at LASR labs.
Event Schedule
6:00 to 6:30 - Food & Introductions
6:30 to 7:30 - Main Presentation & Questions
7:30 to 9:00 - Open Discussion
If you can't attend in person, join our live stream starting at 6:30 pm via this link.This is part of our weekly **AI Safety Thursdays **series. Join us in examining questions like:
- How do we ensure AI systems are aligned with human interests?
- How do we measure and mitigate potential risks from advanced AI systems?
- What does safer AI development look like?
10 attendees
Agentic property-based testing: finding bugs across the Python ecosystem
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CARegistration Instructions
This is a paid event ($5 general admission, free for students & job seekers) with limited tickets - you must RSVP on Luma to secure your spot.Event Description
Testing software for bugs and vulnerabilities is typically difficult as it requires the developer to think through edge cases.In this talk, Muhammad Maaz will present work on using LLM-based agents and Hypothesis, a property-based testing framework, to automatically generate and test general properties of code.
Event Schedule
6:00 to 6:30 - Food & introductions
6:30 to 7:30 - Presentation & Q&A
7:30 to 9:00 - Open discussionIf you can't attend in person, join our live stream starting at 6:30 pm via this link.
This is part of our weekly AI Safety Thursdays series. Join us in examining questions like:
- How do we ensure AI systems are aligned with human interests?
- How do we measure and mitigate potential risks from advanced AI systems?
- What does safer AI development look like?
3 attendees
Weird AI Wednesday: What the Luddites Can Teach Us About Societal Response to AI
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CARegistration Instructions
This is a paid event ($5 general admission, free for students & job seekers) with limited tickets - you must RSVP on Luma to secure your spot.Event Description
The Luddites were a 1800's-era movement of textile workers who smashed weaving machines because they feared being replaced. Dismissed as “anti-technology rebels”, their revolt in reality targeted employers who used new machinery to suppress wages and de-skill labour.Jason Yung revisits the Luddites as a case study in societal resistance to technological disruption and asks: what lessons do they offer for today’s adaptation to AI, especially under scenarios of large-scale displacement and economic restructuring?
Event Schedule
6:00 to 6:30 - Food & introductions
6:30 to 7:30 - Presentation & Q&A
7:30 to 9:00 - Open discussionIf you can't attend in person, join our live stream starting at 6:30 pm via this link.
This is part of a new semi-regular event series Weird AI Wednesdays, where we explore strange outlier stories and concepts from the emerging AI world.
3 attendees
Past events
186
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