

# Event Details

- **Event Name**: SRI Seminar Series: Zhijing Jin [HYBRID EVENT]
- **Event Start and End Date**: Wed, 18 Mar, 2026 at 12:30 pm – Wed, 18 Mar, 2026 at 02:00 pm
- **Event Description**: Join us for a seminar featuring the University of Toronto's Zhijing Jin on Wednesday, March 18th.About this EventOur weekly SRI Seminar Series welcomes , incoming Assistant Professor at the University of Toronto and a Research Scientist at the Max Planck Institute, with affiliations spanning CIFAR, the Vector Institute, ELLIS, and the Schwartz Reisman Institute. Her work sits at the intersection of artificial intelligence, society, and scientific inquiry, with a focus on advancing both the technical foundations and responsible development of AI.Zhijing’s research engages broad questions around large language models, causal reasoning, and AI safety, alongside collaborative and institutional approaches to governing complex AI systems. Across academic, policy, and interdisciplinary communities, she is actively involved in shaping conversations about how advanced AI can be made more robust, interpretable, and socially aligned.Moderator: Nisarg Shah, Department of Computer ScienceVenue [IN-PERSON]: Schwartz Reisman Innovation Campus, 108 College St., Room W762Online: Zoom link will be emailed to registrants.Talk title: Emergent AI safety risks in multi-agent LLMsAbstract:As AI systems take on more autonomous roles in the knowledge-work economy, they’ll increasingly interact with each other. However, will the AI agents coordinate for social good, or exploit rival agents and people in ways that put humans at serious risk?In this talk I will explain how we assess these dangers with large-scale social simulations and game-theoretic analysis. We find that reasoning agents with sophisticated thinking often fail to sustain cooperation in a multitude of settings. Surprisingly, stronger reasoning capabilities often make models more prone to selfish strategies like free-riding. Finally, we present a framework that organizes multi-agent safety threats using well-established game-theoretic models, spanning multiple canonical dynamics grounded in diverse, realistic instantiations to probe robustness beyond any single setting. These strategic failures (where models’ decisions diverge from game-theoretic optimality) persist for state-of-the-art reasoning models, but various intervention mechanisms such as mediation by a neutral agent and agent-to-agent commitment protocols show a promising path towards pareto frontier in mutli-agent scenarios.About the speakerSRI Faculty Affiliate  is a is an incoming Assistant Professor at the University of Toronto and a Research Scientist at the Max Planck Institute, with additional affiliations as a CIFAR AI Chair, faculty member at the Vector Institute, ELLIS advisor, and faculty affiliate at the Schwartz Reisman Institute. Her work sits at the intersection of artificial intelligence, causal reasoning, and responsible AI, with a focus on advancing both the technical foundations of large language models and their alignment with societal values.Her research spans large language models, causal inference, multi-agent systems, and AI safety, alongside complementary work in interpretability and robustness. Zhijing is an active contributor to the international AI research community, serving in leadership and mentorship roles across major conferences and initiatives, and her work has been recognized with multiple awards and fellowships. Her research has also been featured in outlets including WIRED, MIT News, and Chip magazine.About the SRI Seminar SeriesThe SRI Seminar Series brings together the Schwartz Reisman community and beyond for a robust exchange of ideas that advance scholarship at the intersection of technology and society. Seminars are led by a leading or emerging scholar and feature extensive discussion.About the Schwartz Reisman Institute for Technology and SocietyThe Schwartz Reisman Institute for Technology and Society is a research institute at the University of Toronto that explores the ethical and societal implications of technology. Our mission is to deepen knowledge of technologies, societies, and humanity by integrating research across traditional boundaries to build human-centred solutions.Explore each session in advance by visiting .Missed an event? Visit to watch previous seminars.
- **Event URL**: https://allevents.in/toronto/sri-seminar-series-zhijing-jin-hybrid-event/100001977924987883
- **Event Categories**: Workshops, Art, trips-adventures
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fsri-seminar-series-zhijing-jin-hybrid-event-tickets-1977924987883
- **Ticket Price Range**: min: 0, max: 0, currency: CAD

## Event venue details

- **city**: Toronto
- **state**: ON
- **country**: Canada
- **location**: U of T: Schwartz Reisman Innovation Campus
- **lat**: 43.6603284
- **long**: -79.38914539999999
- **full address**: U of T: Schwartz Reisman Innovation Campus, 108 College Street, Toronto, Canada

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Schwartz Reisman Institute (https://allevents.in/org/schwartz-reisman-institute/18504347)

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## FAQs

- **Q**: When is the event happening?
  - **A:** Wed, 18 Mar, 2026 at 12:30 pm
- **Q**: Where is the event happening?
  - **A:** U of T: Schwartz Reisman Innovation Campus, 108 College Street, Toronto, Canada
- **Q**: What is the ticket price?
  - **A:** starting from 0 up to 0 CAD
- **Q**: Who is organizing the event?
  - **A:** Schwartz Reisman Institute
- **Q**: What type of event is this?
  - **A:** Workshops, Art, trips-adventures
- **Q**: Where can I find ticket details about SRI Seminar Series: Zhijing Jin [HYBRID EVENT] ?
  - **A:** You can find ticket details about this event on AllEvents.

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