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As generative AI systems become increasingly powerful, how can researchers ensure their safety? In this talk, Max Tegmark, physicist and prominent AI ethics advocate, explores the principles and frameworks for building "guaranteed-safe" generative AI. Speaking to an audience of AI researchers, Tegmark focuses on the technical, philosophical, and societal challenges of aligning AI systems with human values. In this video: The definition of "guaranteed-safe" generative AI and why it matters How current generative AI models (like GPTs) risk unintended consequences without rigorous safeguards Technical strategies for achieving alignment and minimizing risks, including robustness testing, interpretability, and scalable oversight Philosophical and ethical dilemmas: balancing innovation with safety in open-ended AI systems Policy implications and global cooperation for regulating generative AI responsibly Max Tegmark calls for deeper collaboration between researchers, ethicists, and policymakers to address the unique challenges posed by generative AI. With his characteristic clarity, he outlines actionable strategies for researchers committed to shaping a safer AI future.