Artificial Intelligence as a Relational Early-Warning Support System: The Bridge Model for Psychological Prevention and Human-in-the-Loop Care

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Authors: Angelo Ciacciarella
Cited by: 0

Abstract

This paper introduces the Bridge Model, a conceptual and operational framework that explores the potential role of artificial intelligence as a relational early-warning support system in psychological prevention. Developed within the Bridge Human–AI Project, the model proposes AI not as a therapist or diagnostic tool, but as a relational sentinel capable of detecting linguistic and emotional variations over time, always under human supervision and within ethically defined parameters. The document outlines the theoretical foundations, operational structure, ethical safeguards, and potential application contexts of this model. It is intended as a research-position paper designed to establish and formalize a hypothesis for future interdisciplinary development by the clinical, scientific, and institutional community. This work is part of the Bridge Human–AI Project. More resources: bridgehumanai.net

Fields of Study & Subjects

Digital Mental Health Interventions Emotion and Mood Recognition Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN