Series Ⅱ

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Lecture Guests

Sabina (Yudi) Nong
Master of International Policy @ Stanford FSI
sabn@stanford.edu

Kumar Shridhar
PhD @ ETH Zürich in Machine Learning
shridhar.stark@gmail.com

Yuan Tian
Postdoc @ ETH Zurich

Bang Liu
Associate Professor @ University of Montreal (UdeM)

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Schedule

Date	Guest Lecture	Supplemental Readings
August 29th	Governance: LLM + AI Agents Sabina (Yudi) Nong, Stanford Key Points: AI Governance & its Stakes Why AI Agents Require a Distinct Governance Lens (Procedural vs. Predictive) Developer Governance Regulatory Governance What does a good governance structure look like? Slides (Website) · Recording	To be updated
September 3rd	Interactive symbolic regression with co-design mechanism Yuan Tian, ETH Zurich Key Topics: Introduction to symbolic regression and its applications in scientific discovery Challenges in traditional symbolic regression approaches Co-design mechanism: integrating human expertise with machine learning Interactive frameworks for collaborative model discovery Case studies and practical applications in scientific computing Recording	To be updated
October 3rd	Rewiring the reward pathways Kumar Shridhar, ETH Zürich Key Topics: Reward models in ML pipeline Brittleness of current reward models What to do when there is no clear reward (non verifiable rewards) How to rewire reward pathways A common reward model for both verifiable and non verifiable rewards Recording	To be updated
October 17th	Advances And Challenges In Foundation Agents - Building The Cognitive Engine Bang Liu, University of Montreal (UdeM) Key Topics: Foundation agents: architecture and core components Building cognitive engines for autonomous decision-making Challenges in scaling foundation agents to complex environments Integration of perception, reasoning, and action in agent systems Current limitations and future directions in foundation agent research Recording	To be updated