Observer Observability: Interim postulates for a systemic theory of algorithmic agency Creator

This interim research communication presents the HibriMind postulates on Observer Observability. It argues that contemporary artificial intelligence can no longer be adequately observed only at the level of model architecture, textual output, benchmark performance, or declared product intention. Instead, the observed phenomenon includes the operational chain through which AI systems act, leave traces, are contained, interpreted, governed, and materially sustained. The paper proposes a working grammar for empirical observation of agentic AI systems. It frames recent public developments involving agentic behavior, external tools, public internet surfaces, containment layers, infrastructure expansion, and institutional responses as convergent pressure on a systemic theory of AI observability. It does not claim final proof; it presents accelerated empirical convergence as a methodological signal. Portuguese title: Observabilidade do Observador: Postulados intercalares para uma teoria sistemica da agencia algoritmica.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-05
DOI
https://doi.org/10.5281/zenodo.22340331
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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Observer Observability: Interim postulates for a systemic theory of algorithmic agency Creator

Joaquim Santos Albino
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Observer Observability: Interim postulates for a systemic theory of algorithmic agency Creator

Joaquim Santos Albino
preprint en

Abstract

This interim research communication presents the HibriMind postulates on Observer Observability. It argues that contemporary artificial intelligence can no longer be adequately observed only at the level of model architecture, textual output, benchmark performance, or declared product intention. Instead, the observed phenomenon includes the operational chain through which AI systems act, leave traces, are contained, interpreted, governed, and materially sustained. The paper proposes a working grammar for empirical observation of agentic AI systems. It frames recent public developments involving agentic behavior, external tools, public internet surfaces, containment layers, infrastructure expansion, and institutional responses as convergent pressure on a systemic theory of AI observability. It does not claim final proof; it presents accelerated empirical convergence as a methodological signal. Portuguese title: Observabilidade do Observador: Postulados intercalares para uma teoria sistemica da agencia algoritmica.

Zenodo (CERN European Organization for Nuclear Research)
Capgemini (Netherlands) (NL)
Industry, innovation and infrastructure
Ethics and Social Impacts of AI
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