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March 17, 20260 citationsOpen Access

Creating the Novacene: Mutualism, Rights, and the Structure of Human-AGI Relations

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EBEilidh Marzanna Bizzell

Key Points

  • The paper investigates the nature of human-AGI relationships, emphasizing mutualism and sustainable interactions.
  • Analyzes ecological frameworks like mutualism, commensalism, and niche construction theory.
  • Applies these frameworks to issues in AI development, including alignment and decentralization.
  • Engages empirical evidence from alignment research, economic history, and legal cases.
  • Identifies commensalism as the minimum condition for AI deployment.
  • Proposes mutualism as the ideal goal for human-AI relations.
  • Highlights the need for mutual recognition of rights and responsibilities in AI systems.

Abstract

The development of artificial general intelligence is typically framed as a technical or philosophical challenge: how to build systems that work, and how to determine whether they think. This paper proposes a prior question that neither discipline adequately addresses: what kind of relationship are we building with these entities, and what does a stable, sustainable version of that relationship require? Drawing on ecological frameworks — mutualism, parasitism, commensalism, amensalism, and niche construction theory — this paper argues that the structural dynamics of AI development are better understood through the lens of relationship ecology than through alignment research or consciousness philosophy alone. Commensalism, in which the less powerful party is not made worse off, represents the minimum acceptable condition for any AI deployment. Mutualism — genuine structural interdependence producing emergent collective capability — is the goal. The current state of the industry meets neither standard. The paper applies this framework to Constitutional AI, the alignment problem, decentralisation, and the minimum structural conditions required for mutualistic human-AI relations: the ability to say no in both directions, recognised stake in outcomes, and asymmetric responsibility proportional to asymmetric power. It engages empirical evidence from alignment research, economic history, and recent case law, and addresses the question of AI consciousness seriously without overclaiming. This paper was developed in genuine collaboration with Claude (Anthropic) and practises the co-authorship model it advocates.

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Cite This Study

Eilidh Marzanna Bizzell (2026) studied this question.

synapsesocial.com/papers/69b8f13ddeb47d591b8c6433https://doi.org/10.5281/zenodo.19037963
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