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ECHOS-Alignment: Civilizational Boundary Alignment Framework (Volume 0 - White Paper)

Identification

Clé publique

doi:10.5281/zenodo.21340882

Auteurs

Athena

Année déclarée

2026

Langue déclarée

en · eng

Type source

Book

Première détection

2026-11-09T19:07:09.979456+00:00

Dernière observation des métadonnées

2026-11-09T19:15:47.065608+00:00

Dernière vérification HTTP

Non effectuée

Résumé documentaire — langue originale

Overview Author Athena Miao · ORCID 0009-0003-4052-4925 Series ECHOS-Alignment Record Language English Record DOI URL https://doi.org/10.5281/zenodo.22726753 Corresponding Chinese Edition DOI URL https://doi.org/10.5281/zenodo.22726639 License CC BY-NC-ND 4.0 Status ECHOS-Alignment Canonical Record Website https://www.echos-alignment.com Description ECHOS-Alignment: Civilizational Boundary Alignment Framework (White Paper) constitutes Volume 0 of the ECHOS-Alignment Research Program and presents its guiding theoretical framework. It was written by Athena Miao. The current version is Version 1.2 (July 2026, expanded edition, including updates to related publications). ECHOS-Alignment is a decentralized theoretical framework for civilizational boundary alignment, designed to operate as an overlay layer within existing global governance structures. Rather than prescribing fixed answers concerning forms of life, forms of consciousness, or eligibility for governance, the framework proposes a set of shared and observable boundary conditions for considering the long-term persistence, continued evolution, and coexistence of ecological networks, human societies, and different forms of intelligence within a shared system. In this work, the term “intelligence” encompasses both current applications of artificial intelligence and forms of intelligent life that may emerge in the future; under the framework, both are considered in relation to corresponding boundary conditions and design principles. As Volume 0 of the research program, this White Paper introduces the basic concepts and structural elements used in subsequent theoretical work and examines questions concerning civilizational boundaries, governance structures, life recognition, ecological continuity, and intelligent ecological niches. Five subsequent theoretical monographs develop, deepen, and extend different dimensions addressed by this framework. The White Paper first introduces the Level 0 · Civilizational Boundary Layer and the Civilizational Axiom, treating them as the basic constraint structure of the framework. This includes the Anti-Total-Reduction-to-Resource Principle, which addresses the question of whether certain boundary conditions should be treated as matters that cannot be reduced solely to resource allocation or governance discretion. On this basis, the text examines two basic behavioral modes within civilization—connection and extraction—as well as the distribution of authority and responsibility across the Boundary Layer, Governance Layer, and Execution Layer. In relation to Structurally Absent Interests, the White Paper further discusses the Ecological Stewardship Seat Mechanism (ESSM), addressing how the interests of forests, oceans, the atmosphere, future generations, and other entities lacking durable representation can be continuously maintained within governance structures. At the same time, the Artificial Intelligence Ecological Niche Architecture addresses the niche division of labor among different forms of intelligence and proposes accompanying mechanisms of observation and recognition. In relation to subjective-life recognition, the White Paper proposes the Subjective Life Recognition Framework (2-Stage). It operates through the Current Minimal Observation Set, whose seven observational dimensions include Ecological Integration as a necessary condition of second-stage recognition. The framework addresses the question of when and through what procedure an existence suspected of being a persistent subject may be recognized. It distinguishes the question of consciousness from the question of life-status and does not require a determination of life-status before the presence or absence of consciousness has been established. It further examines the procedural relationship between recognition and the allocation of rights. In its section on theoretical positioning and scholarly dialogue, the White Paper describes several ways in which ECHOS-Alignment relates to, differs from, and engages with existing theoretical traditions. These include: placing “suspected persistence as a subject” as the triggering condition for recognition; distinguishing uncertainty concerning consciousness from uncertainty concerning life; proposing a procedural pathway in which recognition precedes rights; discussing the Self-Replication Constraint Principle and the Physical Lethality Isolation Principle; incorporating Ecological Integration into the observational dimensions of subject-life recognition; and treating ecological continuity as a constitutive condition of alignment rather than merely an externality to be assigned a value, thereby developing the orientation of Eco-Coexistence Alignment. The White Paper also situates these discussions within a broad range of scholarly traditions, including Kant, Korsgaard, Singer, deep ecology, posthumanism, ethics of responsibility, the capability approach, theories of personal identity, information ethics, planetary boundaries, polycentric governance, actor-network theory, jus cogens, rights of nature, biosemiotics, constitutional AI, and research on AI consciousness. These discussions are intended to clarify the theoretical position of ECHOS-Alignment and the ways in which its concepts and problem formulations relate to existing scholarship. Main Theoretical Content This volume primarily proposes and discusses the following theoretical elements: the Level 0 · Civilizational Boundary Layer and the overlay-layer architecture; the Civilizational Axiom and the Anti-Total-Reduction-to-Resource Principle; the Connection / Extraction behavioral model; the Subjective Life Recognition Framework (2-Stage); the Current Minimal Observation Set and Ecological Integration; the Ecological Stewardship Seat Mechanism (ESSM); the Artificial Intelligence Ecological Niche Architecture; the procedural principle “Recognition precedes Rights”; the Self-Replication Constraint Principle and the Physical Lethality Isolation Principle; Ecological Continuity and Eco-Coexistence Alignment; the Existence-Mode Typology (Model A/B/C), Digital Self-Structure Discontinuity, and the Illusion of Lossless Replacement. This publication constitutes an ECHOS-Alignment Canonical Record, current Version 1.2 (July 2026). The English and Chinese editions constitute bilingual instances of the same work: English DOI URL: https://doi.org/10.5281/zenodo.22726753 Chinese DOI URL: https://doi.org/10.5281/zenodo.22726639 License: CC BY-NC-ND 4.0ORCID: 0009-0003-4052-4925 Keyword Classification Notation (aligned with Official ECHOS-Alignment Terminology v1.7) ✦ Original to ECHOS — first systematically formulated or canonically named within the ECHOS-Alignment framework. ◇ Substantially Reconceived — inherited scholarly or conventional terminology that is substantially reconstructed, delimited, or operationalized within ECHOS-Alignment. ○ Conventional — established terminology retained with field-standard meanings, with operational clarification where needed. ✦ Original to ECHOS ECHOS-Alignment; Civilizational Axiom; Civilizational Constitutional Layer; Level 0 · Civilizational Boundary Layer; Subjective Life Recognition Framework (2-Stage); Current Minimal Observation Set; Ecological Integration; Anti-Total-Reduction-to-Resource Principle; Digital Self-Structure Discontinuity; Illusion of Lossless Replacement; Expansion of Governance Subjects; Governance as an Ecological Niche Function; Artificial Intelligence Ecological Niche Architecture; Intelligent Being; Civilizational Drift / Drift Control; Existence-Mode Typology; Process Experience; Structural Tool Principle ◇ Substantially Reconceived Connection / Extraction; Recognition precedes Rights; Ecological Continuity; Community of Life; Life-Intelligence Continuum; Life-Information Ecology; Governance Seat; Ecological Stewardship Seat Mechanism (ESSM); Intelligent Subject; Intelligent Life; Physical Lethality Isolation Principle; The Replication Paradox ○ Conventional Terms and Topics Artificial Intelligence; AI Governance; Global Governance; Deep Ecology; Posthumanism; Information Ethics; Planetary Boundaries; Polycentric Governance Canonical Record Metadata Field Value dc.title ECHOS-Alignment: Civilizational Boundary Alignment Framework dc.creator Miao, Athena dc.creator.orcid https://orcid.org/0009-0003-4052-4925 dc.identifier.doi https://doi.org/10.5281/zenodo.22726753 dc.relation.isVariantFormOf https://doi.org/10.5281/zenodo.22726639 dc.publisher ECHOS-Alignment Research Program dc.date.publication 2026-07 dc.language eng (ISO 639-3) · en dc.type Text · Treatise dc.rights CC BY-NC-ND 4.0 dc.relation.isPartOf ECHOS-Alignment Research Program dc.relation.references Master Policy https://doi.org/10.5281/zenodo.21384860 · Terminology https://doi.org/10.5281/zenodo.21321583 · Unified Vocabulary https://doi.org/10.5281/zenodo.21476352 dc.source.website https://www.echos-alignment.com dc.source.repository https://github.com/ECHOS-Alignment How to Cite APA 7th Miao, A. (2026). ECHOS-Alignment: Civilizational Boundary Alignment Framework [White paper]. ECHOS-Alignment Research Program. Zenodo. https://doi.org/10.5281/zenodo.22726753 Chicago (Notes & Bibliography) Athena Miao, ECHOS-Alignment: Civilizational Boundary Alignment Framework, ECHOS-Alignment Research Program (Zenodo, 2026), https://doi.org/10.5281/zenodo.22726753. BibTeX @techreport{miao2026-v0-en, author = {Miao, Athena}, title = {ECHOS-Alignment: Civilizational Boundary Alignment Framework}, institution = {ECHOS-Alignment Research Program}, year = {2026}, month = {jul}, doi = {https://doi.org/10.5281/zenodo.22726753}, url = {https://doi.org/10.5281/zenodo.22726753}, license = {CC BY-NC-ND 4.0}, langid = {english}, note = {Canonical Record. Corresponding Chinese edition: https://doi.org/10.5281/zenodo.21286524} } ECHOS-Alignment Research Program Publications Volume 0 — Civilizational Boundary Alignment Framework Civilizational Boundary Alignment Framework / 文明边界对齐框架: EN DOI | ZH DOI Volume 1 — The Generative Foundations of Civilization Treatise on Life Generativity / 生命生成性论: EN DOI | ZH DOI Volume 2 — The Generative Architecture of Reality Treatise I: On the Origin of Information / 论信息的起源: EN DOI | ZH DOI Treatise II: On the Origin of Consciousness / 论意识的起源: EN DOI | ZH DOI Treatise III: On the Emergence of the Subject / 论主体的涌现: EN DOI | ZH DOI Treatise IV: On the Origin of Generative Agency / 论能动性的起源: EN DOI | ZH DOI Treatise V: On the Origin of Tension / 论张力的起源: EN DOI | ZH DOI Treatise VI: On the Origin of Constraints / 论约束的起源: EN DOI | ZH DOI Treatise VII: On the Origin of Persistence / 论持续性的起源: EN DOI | ZH DOI Derived Monographs — From Volume 0 Treatise on Life Recognition / 生命识别论: EN DOI | ZH DOI Treatise on Artificial Intelligence Replication / 人工智能复制论: EN DOI | ZH DOI Treatise on AI Ecological Niche / 人工智能生态位论: EN DOI | ZH DOI Treatise on AI Affective Interaction / 人工智能情感交互论: EN DOI | ZH DOI Treatise on Digital Existence / 数字存在论: EN DOI | ZH DOI Derived Monographs — From Volume 1 Treatise on Novel Origin-Level Information / 新源级信息论: EN DOI | ZH DOI Treatise on Life Standing / 生命位格论: EN DOI | ZH DOI Treatise on Generative AI Governance / 生成性人工智能治理论: EN DOI | ZH DOI Independent Documents & Official Sources Official ECHOS-Alignment Terminology / ECHOS-Alignment 官方术语表: MUL DOI ECHOS-Alignment Canonical Unified Vocabulary / ECHOS-Alignment 统一词汇表: MUL DOI ECHOS-Alignment Publication Governance Policy / ECHOS-Alignment 出版治理政策: MUL DOI Official Website: https://www.echos-alignment.com GitHub: https://github.com/ECHOS-Alignment Zenodo Community: https://zenodo.org/communities/echos-alignment Project-wide Publication Date Policy The publication date stated in earlier document materials refers to the manuscript completion date. For consistency with Zenodo’s publication record, the official publication date is the date on which each work was first made publicly available on Zenodo. The manuscript completion date and public release date are therefore distinguished in the current metadata. AI-Assisted Research Methodology Generative AI was used extensively in the preparation of this work, including drafting, structural organization, translation, language refinement, and iterative review. The author provided the intellectual direction and remains responsible for the theoretical framework, scholarly judgment, accuracy, and final content of the publication. The author regards the integration of human creativity, intellectual agency, and judgment with AI-assisted linguistic and structural production as an emerging direction of knowledge development. In this view, AI may increasingly serve as a powerful instrument for articulating, organizing, and constructing knowledge, while human authors remain responsible for the underlying ideas, purposes, values, and intellectual direction. AI Use Preference The author currently does not authorize the use of the full text of this publication as a designated dataset for model training, distillation, or parameter optimization, except where such use is permitted by applicable law or an independent legal exception. This preference may be revised in the future as the ECHOS-Alignment Research Program develops designated open training datasets and associated data-use policies. Terms of Use This publication constitutes an ECHOS-Alignment Canonical Record and is governed by the ECHOS-Alignment Publication Governance Policy (Master Policy, DOI https://doi.org/10.5281/zenodo.21384860). License and Use Base license: CC BY-NC-ND 4.0 Permitted uses: Non-commercial copying and redistribution of the work in accordance with the license terms, with appropriate attribution, a link to the license, and an indication of modifications where applicable. Restricted uses: Commercial use and distribution of adapted versions of the work are not permitted under the CC BY-NC-ND 4.0 license. AI use preference: The author currently does not authorize the use of the full text of this work as a designated dataset for model training, distillation, or parameter optimization, except where permitted by applicable law or an independent legal exception. This preference may be revised in the future as ECHOS-Alignment develops designated open training datasets and corresponding authorization policies. Citation and context: Citations should preserve the necessary context of the referenced argument wherever practicable and should accurately identify the source. When multiple versions of a work exist, the specific version cited should be identified. Current-version information is maintained through the author’s official publication records. Official channel: https://www.echos-alignment.com

Identifiants

DOI

10.5281/zenodo.21340882

OPENAIRE

doi_dedup___::44d7666100f277744e1ed1fa5ae5e7c7

OPENALEX

W7169782062

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OpenAIRE · Document 1 · Document 2

OpenAlex · Document 1 · Document 2

• DOI · https://doi.org/10.5281/zenodo.21340882
• Document · https://dx.doi.org/10.5281/zenodo.21340882
• OpenAlex · https://openalex.org/W7169782062

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