Epistemic Space Shaping as a Complementary Approach to AI Safety

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Sebastian Süper
DOI: 10.5281/zenodo.18430337
Cited by: 0

Abstract

This preprint presents a conceptual and theoretical exploration of epistemic space shaping as a complementary perspective on AI safety and alignment.The work is based on qualitative observation and proposes a framework for understanding how discourse structure may influence model response tendencies.Empirical validation is planned for future versions.

Fields of Study & Subjects

Ethics and Social Impacts of AI Adversarial Robustness in Machine Learning Safety Systems Engineering in Autonomy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN
Document type
Preprint