Summary

June 30, 2026 | 12:00 PM – 1:00 PM ET

AI safety, once a niche concern, is now a topic that the average person has heard of, but many remain unaware of the specifics and what can be done to safeguard against these new threats.

This webinar explores AI safety as both a technical and societal challenge. On the technical side, issues such as robustness, alignment, interpretability, and controllability raise fundamental questions about how we design systems that behave as intended. On the societal side, concerns around misuse, systemic bias, economic disruption, and governance highlight the broader implications of deploying AI at scale. These dimensions are deeply interconnected: technical design choices can have far-reaching social consequences, while policy decisions can shape the trajectory of technical development.

The goal of this webinar is to provide a structured overview of key problems, current approaches, and open research directions in AI safety.

Registration

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