ASI

ASI (Artificial Superintelligence) refers to hypothetical AI systems that dramatically exceed human-level intelligence across all cognitive domains — not merely matching humans but surpassing them by margins similar to those between humans and other animals. ASI is more speculative than AGI: where AGI implies human-level competence, ASI implies capabilities humans cannot understand or compete with. Concepts of ASI come from researchers including Nick Bostrom (whose 2014 book Superintelligence influentially explored the topic), Eliezer Yudkowsky, and various AI safety researchers. ASI is central to several active fields of inquiry: alignment research (ensuring superintelligent systems pursue beneficial goals), governance research (managing societal risks), and capability research (understanding what would need to be true for ASI to emerge). No ASI exists today. AI governance, AI compliance, and AI risk management programs at frontier AI labs explicitly address ASI in long-term safety planning supporting responsible AI through serious consideration of potential transformative impacts in advanced enterprise AI strategy.

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