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ABSTRACT: Recent breakthroughs in generative AI have been largely driven by scaling laws, unlocking unprecedented capabilities across vision, language, and multimodal domains. However, scaling is inherently difficult to control and cannot be assumed to bring only benefits. This talk will explore several key safety risks emerging from large-scale generative AIs, including issues of fairness, robustness, and privacy. It will also highlight recent research efforts across these areas, covering both technical mitigation strategies and open challenges that remain for building trustworthy generative systems.