AI Safety Week | Day 1: The Collaboration Exchange | Curated Matchmaking
Monday, November 9, 2026 · 2.15pm – 4.15pm
Session
AI Safety Week | Day 1: The Collaboration Exchange | Curated Matchmaking
Monday, November 9, 2026
2.15pm – 4.15pm · Eastern
Working session
Delegate registration is being released in phases. Eligible delegates will receive access instructions when registration opens to them.
Information
Sometimes the hardest part of getting involved in a field isn't knowing what interests you, but knowing who to speak to, where to begin or how to take the next step. Led by Trajectory Labs, The Collaboration Exchange is designed to make those conversations easier to have in person. We're bringing together researchers, professionals, mentors, funders and organizations for an afternoon of structured introductions and dedicated face-to-face time.
Whether you have questions about a research direction, are looking for guidance or collaborators, or simply want to meet others working on similar challenges, this is a chance to have the conversations that can be difficult to arrange over email. We hope you'll leave with a few questions answered, some useful new connections and a clearer sense of where to go next.
Convened with

Trajectory Labs
Toronto-based AI safety community and research hub supporting collaboration, mentorship and talent development. Through its shared workspace, events and peer network, it helps strengthen the local AI safety research ecosystem.

Vector Institute
Leading Canadian AI research institute advancing machine learning, developing talent and supporting responsible AI adoption. It connects academic research with industry and public-sector applications to drive innovation and societal benefit.
Schwartz Reisman Institute
Brings together researchers across disciplines to examine the relationship between technology and society, advancing practical, human-centred approaches to responsible innovation and governance.

AI4GoodLab
Canadian summer training program that equips women and gender-diverse participants with machine learning skills through hands-on projects, mentorship and community-building, to foster the next generation of AI talent.

ACM-W
Part of the international Association for Computing Machinery's community for women in computing, bringing together interdisciplinary professionals to advance women's participation, mentorship and leadership in technology.