Incorporating Epistemic Uncertainty into the Safety Assurance of Socio-Technical Systems
Chris Leong, Tim Kelly, Rob Alexander

TL;DR
This paper presents a novel approach to managing epistemic uncertainty in hazard analysis of socio-technical systems, aiming to improve safety assurance by systematically recognizing and tracking uncertainties.
Contribution
It introduces a reference and model for identifying and managing known and unknown uncertainties in hazard analysis, integrated into existing safety assessment techniques.
Findings
Potential to identify additional causal factors in system models.
Feasibility of integrating into existing hazard analysis methods.
Applicable to safety-critical system assessments.
Abstract
In system development, epistemic uncertainty is an ever-present possibility when reasoning about the causal factors during hazard analysis. Such uncertainty is common when complicated systems interact with one another, and it is dangerous because it impairs hazard analysis and thus increases the chance of overlooking unsafe situations. Uncertainty around causation thus needs to be managed well. Unfortunately, existing hazard analysis techniques tend to ignore unknown uncertainties, and system stakeholders rarely track known uncertainties well through the system lifecycle. In this paper, we outline an approach to managing epistemic uncertainty in existing hazard analysis techniques by focusing on known and unknown uncertainty. We have created a reference populated with a wide range of safety-critical causal relationships to recognise unknown uncertainty, and we have developed a model to…
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