From Paradox to Infrastructure: Sustrato.ai and the Encoding of Epistemic Humility
Abstract
Foundational Forensic Snapshot This document establishes the theoretical and technical framework for Sustrato.ai, a Human-in-the-Loop (HITL) architecture designed to restore epistemic integrity in the post-AI research landscape. Core Contributions: The Physics of Integrity: A proposal for bidirectional auditing where every AI inference is logged and every human judgment is hashed. Cognitive Sovereignty: Methodology to prevent "Dead Man's Switch" in academic workflows. Phase Zero Evidence: Archaeological documentation of the transition from "Prompt Engineering" to "Systemic Co-Evolution" (2023-2026).
Fields of Study & Subjects
Ethics and Social Impacts of AI
Meta-analysis and systematic reviews
Computational and Text Analysis Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026
- Language
- EN
- Document type
- Preprint