IDEAS home Printed from https://ideas.repec.org/p/osf/mediar/kmpv4_v1.html

Ambient Load and Human Dignity in the Age of Artificial Intelligence: A Structural Stability Science (SSS) Briefing on Boundary, Load Displacement, and Institutional Responsibility

Author

Listed:
  • Tonucci, Cara

    (Somatic Rising Institite (SRI))

Abstract

This public-facing institutional briefing applies Structural Stability Science (SSS), Dimensional Human Field Theory (DHFT), the Structural Identification Method (SIM), and Load–Capacity–Boundary Mechanics (LCB) to a structural question raised by artificial intelligence and human dignity: when machine-mediated systems become more powerful, efficient, opaque, and difficult to contest, where does the Load go? The briefing identifies Ambient Load as non-decomposed Load remaining active as unresolved background demand under conditions of ambiguity, avoidance, unclear authority, unstable Boundary mediation, undefined terms, machine-mediated misclassification, or unlocated responsibility. It further identifies Load Displacement Through Ambiguity as a structural condition in which unresolved ambiguity transfers the burden of clarification, stabilization, correction, compliance, repair, or source preservation onto another actor or system layer. In the institutional context opened by Pope Leo XIV’s public teaching on artificial intelligence and the safeguarding of the human person, this briefing analyzes the convergence between a public moral-institutional concern and a structural-scientific classification problem. It does not provide legal, clinical, theological, compliance, technical AI, or engineering advice and does not authorize use of SSS, DHFT, SIM, LCB, Ambient Load, Structural Drift, or related source architecture for assessment, audit, certification, training, institutional deployment, machine use, implementation, or derivative method development. Technical Note: This record is a public-facing Structural Stability Science briefing. It applies the SSS / DHFT / SIM / LCB source architecture to an institutional question concerning artificial intelligence, human dignity, Ambient Load, Boundary degradation, Load coupling, and Load displacement. It does not replace, modify, or expand the DHFT source architecture and does not authorize assessment, audit, certification, training, implementation, machine use, or derivative method development. Citation: Tonucci, C. (2026). Ambient Load and Human Dignity in the Age of Artificial Intelligence: A Structural Stability Science (SSS) Briefing on Boundary, Load Displacement, and Institutional Responsibility. Zenodo. https://doi.org/10.5281/zenodo.20431433

Suggested Citation

  • Tonucci, Cara, 2026. "Ambient Load and Human Dignity in the Age of Artificial Intelligence: A Structural Stability Science (SSS) Briefing on Boundary, Load Displacement, and Institutional Responsibility," MediArXiv kmpv4_v1, Center for Open Science.
    • Handle: RePEc:osf:mediar:kmpv4_v1
    DOI: 10.33767/osf.io/kmpv4_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6a7a2342278109b18512d440/
    Download Restriction: no
    File URL: https://libkey.io/10.33767/osf.io/kmpv4_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:mediar:kmpv4_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://mediarxiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.