Joshua Fox

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About

Joshua Fox is a pioneering researcher in the field of artificial intelligence safety, with a particular focus on the long-term risks and ethical design of advanced AI systems. His most influential work, "Safety Engineering for Artificial General Intelligence" (2012), with 76 citations, laid foundational groundwork for understanding how to engineer robust and beneficial AGI. In this paper, Fox systematically identified key safety challenges—such as goal alignment, corrigibility, and the prevention of unintended instrumental behaviors—that have since become central to the AI safety research agenda. Beyond this seminal contribution, his research spans the broader intersection of AI ethics, risk assessment, and the philosophy of mind, where he has advocated for proactive, interdisciplinary approaches to ensure that future AI systems remain under meaningful human control. Fox’s work is notable for its clarity and foresight, helping to shape the discourse among both technical researchers and policymakers. His contributions continue to inform ongoing efforts to build safe, transparent, and value-aligned artificial intelligence.