What question did this study set out to answer?

The aim is to propose a model that treats decision deferral as a legitimate state in human-AI systems.

January 6, 2026Open Access

A Decision-Freezing Model for Human–AI Systems A Safety-Oriented Operational Framework

Key Points

The aim is to propose a model that treats decision deferral as a legitimate state in human-AI systems.
Proposes an operational framework for human–AI collaborative systems.
Analyzes failure modes in AI-assisted systems across various domains.
Identifies premature decision fixation as a dominant cause of critical failures.
Highlights the importance of decision deferral in safety-oriented designs.

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.

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