Responsibility-Anchored Intelligence

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Authors: Heorhii Hohilauri
Cited by: 0

Abstract

Responsibility-Anchored Intelligence (RAI) defines a new class of intelligent systems in which responsibility for action, decision, and consequence is explicitly and permanently anchored to a human actor. Unlike traditional AI paradigms that prioritize autonomy, optimization, or performance, RAI introduces a structural constraint: intelligence may inform, reflect, analyze, and expose consequences — but it cannot act, decide, or substitute human agency. This publication establishes RAI as a safety standard, not an ethical guideline. It formalizes responsibility anchoring as a non-delegable architectural property, independent of model capability, scale, or intelligence level. RAI systems are designed to reduce systemic risk, prevent responsibility drift, and preserve human accountability in high-impact decision environments. The document intentionally avoids implementation details and mechanisms. It defines ontological boundaries, not operational recipes.

Publication details

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