A Decision-Freezing Model for Human–AI Systems A Safety-Oriented Operational Framework
Abstract
Status: Awaiting decisionReason: Insufficient safety margin for commitment A Decision-Freezing Model for Human–AI Systems A Safety-Oriented Operational Framework Abstract This document proposes an operational model in which decision deferral is treated as a first-class design state rather than as failure, indecision, or avoidance. The model is applicable to human–AI collaborative systems, large-scale automation, and socio-technical infrastructures where premature decision fixation increases systemic risk. 1. Problem Statement Modern AI-assisted systems optimize for: decision speed throughput output completeness However, empirical evidence across domains (aviation, medicine, finance, large-scale software operations) shows that critical failures are more often caused by premature decision fixation than by incorrect reasoning. The dominant failure mode is not error, but irreversibility.
Fields of Study & Subjects
Human-Automation Interaction and Safety
Ethics and Social Impacts of AI
Safety Systems Engineering in Autonomy
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026
- Language
- EN
- Document type
- Preprint