The concept of synthetic death examines the cessation of functionality and purpose within technological and hybrid systems, presenting parallels to biological mortality while diverging fundamentally in context and mechanisms. This paper explores bioinspired approaches to address the inevitability of system failure, borrowing lessons from the resilience and adaptability of living organisms. Strategies such as programmed apoptosis, self-repair mechanisms, and adaptive learning are proposed to transform failure into an opportunity for renewal. Hybrid entities, including biohybrids and AI-enhanced systems, blur the boundaries between life and technology, raising critical ethical and philosophical questions about autonomy, meaning, and mortality. By incorporating insights from biological processes, we advocate for the design of systems capable of thriving within their limitations, redefining failure as a pathway to resilience and innovation.

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Synthetic Death: Bioinspired Mechanisms for AI Resilience and Renewal

  • Jordi Vallverdú,
  • Max Talanov

摘要

The concept of synthetic death examines the cessation of functionality and purpose within technological and hybrid systems, presenting parallels to biological mortality while diverging fundamentally in context and mechanisms. This paper explores bioinspired approaches to address the inevitability of system failure, borrowing lessons from the resilience and adaptability of living organisms. Strategies such as programmed apoptosis, self-repair mechanisms, and adaptive learning are proposed to transform failure into an opportunity for renewal. Hybrid entities, including biohybrids and AI-enhanced systems, blur the boundaries between life and technology, raising critical ethical and philosophical questions about autonomy, meaning, and mortality. By incorporating insights from biological processes, we advocate for the design of systems capable of thriving within their limitations, redefining failure as a pathway to resilience and innovation.