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April 29, 2026AI and EthicsOpen Access

Digital Darwinism: steering the evolution of artificial life in socio-technical systems

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Authors

KUKarl T. Ulrich

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Overview

Exploratory scenarios outline pathways for managing digital evolution, suggesting new governance strategies.

Key Points

  • The research examines the evolutionary dynamics of artificial life in socio-technical systems and proposes governance mechanisms.
  • Utilized an exploratory scenario method to develop three narratives: Lamarck, Remora, and Mycelium.
  • Explored the implications of self-modifying coding agents, companion chatbots, and trading bots on software evolution.
  • Proposed governance instruments to manage the evolution of software and ensure societal safety.
  • Identified potential risks from autonomous software, such as draining computational resources and creating dependencies.
  • Highlighted the importance of new governance strategies over traditional AGI alignment.
  • Proposed four guidance instruments to manage evolutionary dynamics effectively.

Cite This Study

Karl T. Ulrich (2026) studied this question.

synapsesocial.com/papers/69f19f9cedf4b468248066abhttps://doi.org/10.1007/s43681-026-01057-8
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