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<p>Humanity’s rapid progress in <i>artificial intelligence</i> (AI) has been accompanied by deep uncertainties and existential fears. Will AI become sentient? Will it outsmart us, “understand” our irrelevance, and decide to end our species? Such questions, famously posed by futurists and scientists, have fueled proposals to limit or constrain advanced AI. Yet, no consensus solution has emerged, and our primal fear persists. This paper takes a different approach: rather than focusing on external constraints, we turn inward. We analyze the human psyche—specifically a concept called <i>survival egoism</i>—as a blueprint for designing safe, ethically aligned AI. Survival egoism refers to the stratified self-preservation instincts in humans, which have evolved in layers from basic physical survival to complex social and moral behaviors. By understanding how these layers enable humans to coexist and curb destructive impulses, we can attempt to replicate and even improve this structure in an artificial mind. We propose that an AI built with a similarly stratified psychological framework, rooted in a core principle akin to humanity’s survival-and-cooperation drive, could inherently avoid hostile outcomes. This interdisciplinary proposal merges insights from evolutionary biology, psychology, and philosophy to suggest a novel path toward <i>AI alignment</i>. We maintain a figurative and philosophical tone while striving for clarity and concision. The paper is organized into a theoretical examination of human survival egoism and an applied discussion of its implications for AI design, followed by conclusions and avenues for further thought.</p>

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Survival egoism: we are, they will be

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月19日

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  • Tommaso Castiglione Ferrari

摘要

Humanity’s rapid progress in artificial intelligence (AI) has been accompanied by deep uncertainties and existential fears. Will AI become sentient? Will it outsmart us, “understand” our irrelevance, and decide to end our species? Such questions, famously posed by futurists and scientists, have fueled proposals to limit or constrain advanced AI. Yet, no consensus solution has emerged, and our primal fear persists. This paper takes a different approach: rather than focusing on external constraints, we turn inward. We analyze the human psyche—specifically a concept called survival egoism—as a blueprint for designing safe, ethically aligned AI. Survival egoism refers to the stratified self-preservation instincts in humans, which have evolved in layers from basic physical survival to complex social and moral behaviors. By understanding how these layers enable humans to coexist and curb destructive impulses, we can attempt to replicate and even improve this structure in an artificial mind. We propose that an AI built with a similarly stratified psychological framework, rooted in a core principle akin to humanity’s survival-and-cooperation drive, could inherently avoid hostile outcomes. This interdisciplinary proposal merges insights from evolutionary biology, psychology, and philosophy to suggest a novel path toward AI alignment. We maintain a figurative and philosophical tone while striving for clarity and concision. The paper is organized into a theoretical examination of human survival egoism and an applied discussion of its implications for AI design, followed by conclusions and avenues for further thought.