AI is everywhere, from helpful assistants to sophisticated scams. Learn how cybercriminals are using AI, how to recognize when something isn't quite right, and how to safely use AI tools without putting yourself or WCM at risk. This session is part of our National Cybersecurity Awareness Month initiative. Learn more at its.weill.cornell.edu/cybersecurity.
Kaitlyn Zhou is an assistant professor of information science and a senior research scientist at Together AI. Her research focuses on the dynamics of human interaction with language models (human-LM interaction), focusing on how generated language shapes human decision-making, reliance, and trust. Her contributions have been recognized at top-tier conferences in natural language processing and human computer interaction. She has received awards such as an NAACL Best Paper Runner-Up, an MIT EECS Rising Star, a Stanford graduate fellowship, and the College of Engineering Dean’s Medal. Her methods have been featured in high-profile news outlets like the New York Times and Wall […]
Join us for this exclusive in-person event filled with presentations and panel discussions covering topics like: AI-powered clinical decision-making, Scaling virtual healthcare delivery, and Predictive analytics in real-world systems. PLUS: Built-in time for networking.
This CAHRScast session will examine how AI is influencing talent development, including the design, delivery, and personalization of learning and development experiences.
Charvi Rastogi is a Research Scientist at Google DeepMind.
The World Economic Forum projects 92 million jobs disrupted and 170 million created worldwide by 2030, while INCOSE’s own Systems Engineering Vision 2035 warns that the supply of well-trained systems engineers already can’t meet demand. Now add AI rewriting model-based systems engineering, digital engineering, and the core competencies our graduates need on day one. The organizations shaping this field are moving fast; the question is whether industry and academia are moving together. Too often we’re not — employers see the shift in real time, universities feel it a step behind, and the people who could close that gap have too few opportunities to work together.
The 2026 Cornell Systems Summit is designed to create those opportunities. Building on two years of momentum, we’re bringing industry, government, and academic leaders to Cornell for high-energy panels and hands-on working groups where we won’t just talk about the AI-driven skills gap — we’ll work together to define it and develop solutions.
Josh Blumenstock is a Chancellor's Professor at the School of Information and the Goldman School of Public Policy at the University of California, Berkeley, where he directs the Global Opportunity Lab.
Jessica Ratcliff is an Associate Professor in the Department of Science & Technology Studies at Cornell University.
In these sessions, instructors will explore a variety of classroom strategies suited both to “leaning in” and “leaning out” of AI usage in the classroom. Come with an open mind and leave with real instructor adaptations and use cases from colleagues at Cornell and peer institutions. 2 Sessions! See event link for details.
As AI systems evolve from generating responses to executing complex workflows, ensuring reliability requires more than measuring outcomes. Sharon Li will explore methods for tracking agent progress, diagnosing failures, and improving learning. She will introduce progress advantage, a signal derived from reinforcement learning, and examine how agents can recognize failures by learning from successful executions. She will also demonstrate how progress signals can identify actions contributing to success or failure.
