Symmetrical Accountability SEF + REL Patterns for Human Override Governance
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