Symmetrical Accountability SEF + REL Patterns for Human Override Governance

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Authors: Charles Rupp
Cited by: 0

Abstract

Introduction The AI governance community is converging on a hard truth: governance must operate at the execution boundary—not just for AI, but for human–AI interactions. A new danger is the unmonitored human — that every AI governance professional has encountered but few frameworks have addressed directly. The philosophical move from “govern the AI” to “govern the interaction” is the right next step, and the engineering patterns must be actionable and platform-agnostic. THE REGULATORY TIME BOMB EU AI Act (2026): Fines up to €35M or 7% of global revenue for non-compliance with human oversight (Article 14) and activity logging (Article 12). NIST AI RMF (2025): Mandates runtime controls—not just policies—for high-risk systems. ISO 42001 (2024): Requires immutable evidence trails for AI decision-making.Without Symmetrical Accountability, you cannot prove compliance—because you cannot prove who did what, when, and why at the human–AI boundary

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
13 March 2026
Language
EN
Document type
Preprint