Toronto AI Safety

This is a ticketed event. Please register at this link.

​Future AI systems could have action-guiding and learning systems which may plausibly resemble those of current human or animal brains. What might it take to make these systems safe? In this presentation, David Atanasov will talk about the work from people who have thought about aligning these hypothetical future systems.

​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​If you can't attend in person, join our live stream starting at 6:30 pm via this link.

This is a ticketed event. Please register at this link.

​Zhijing Jin will be joining us to discuss her AI lab's entire research agenda, including several recent project lines across adversarial defence, interpretability, and democracy defence.​

​​​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​​​​If you can't make it in person, feel free to join the 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?

This is a ticketed event. Please register at this link.

​In February 2026, the Pentagon threatened to cancel Anthropic's $200M contract and label the company a "supply chain risk" unless they dropped restrictions on how Claude could be used. Anthropic refused. Leo Zovic will walk through what happened and what it means for AI companies operating at the intersection of ethics and government power.

​​​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​​​​If you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.

This is a ticketed event. Please register at this link.

​Ryan Faulkner explores various papers that address cooperation and safety in multi-agent LLM simulations. Some of the core topics will include:

• ​Moral behaviour of agents in high-stakes, zero-sum, and morally charged social dilemmas
• ​Governance and sanctioning dynamics and the ways that LLM agents often fail to cooperate and free-ride in common-pool resource game
• ​Mechanism design interventions like mediation, contracts, and elected leadership are explored to steer agents toward safer outcomes.

​This research also reveals that LLMs adapt their behavior based on awareness of their conversational partner's identity.

​​​Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions

​​​​​​If you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.