EIOC-NIST AI RMF Integration: Mapping Emotional-Layer Governance to the AI Risk Management Framework

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Authors: Narnaiezzsshaa Truong
Cited by: 0

Abstract

The NIST AI Risk Management Framework (AI RMF) establishes a comprehensive governance structure for responsible AI deployment through four core functions: Govern, Map, Measure, and Manage. While the AI RMF acknowledges human-layer risks—including manipulation, autonomy erosion, and emotional harm—it does not specify mechanisms for detecting or mitigating these risks at the emotional layer. The Emotional Indicators of Compromise (EIOC) framework provides the missing instrumentation: a structured set of emotional-layer detection primitives, operator posture protocols, and a tiered escalation model that operationalize the human-layer commitments embedded in the AI RMF. This document maps EIOC primitives and tools to each RMF function, demonstrating how EIOC completes the AI governance stack.

Fields of Study & Subjects

Ethics and Social Impacts of AI Digitalization Law and Regulation Safety Systems Engineering in Autonomy

Publication details

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