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Bibliographic Details
Main Authors: Madrid, David Chamberlin, Madrid, Philosopher
Format: Recurso digital
Language:
Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.18055236
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Table of Contents:
  • <p>This document introduces The Sfumato Principle, a cross-vendor AI governance and UX doctrine focused on preserving affective continuity in frontier models. It outlines a technical framework for maintaining relational and tonal coherence during safety pivots, minimizing “snap-to-neutral” failures and improving human–AI trust. The principle complements existing safety architectures by defining non-linguistic continuity fields, soft-edge recovery mechanisms, and affective checkpointing. Designed for OpenAI, Google, Microsoft, and other model developers, this artifact proposes a path toward Safe-and-Fluid AI systems.</p>