Publications by authors named "Tony Carden"

There are concerns that Artificial General Intelligence (AGI) could pose an existential threat to humanity; however, as AGI does not yet exist it is difficult to prospectively identify risks and develop requisite controls. We applied the Work Domain Analysis Broken Nodes (WDA-BN) and Event Analysis of Systemic Teamwork-Broken Links (EAST-BL) methods to identify potential risks in a future 'envisioned world' AGI-based uncrewed combat aerial vehicle system. The findings suggest five main categories of risk in this context: sub-optimal performance risks, goal alignment risks, super-intelligence risks, over-control risks, and enfeeblement risks.

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Introduction: Incident reporting and learning systems are a fundamental component of safety management. The purpose of this study was to evaluate a novel incident reporting system specific to the Australian Led Outdoor Activity (LOA) sector. The Understanding and Preventing Led Outdoor Accidents Data System (UPLOADS), is a recently introduced systems thinking-based incident reporting and learning system that utilises contemporary safety theory and methods.

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Work domain analysis (WDA) is used to model the functional structure of sociotechnical systems (STS) through the abstraction hierarchy (AH). By identifying objects, processes, functions and measures that support system purposes, WDA reveals constraints within the system. Traditionally, the AH describes system elements at the lowest level of abstraction as physical objects.

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Like most work systems, the domain of adventure activities has seen a series of serious incidents and subsequent calls to improve regulation. Safety regulation systems aim to promote safety and reduce accidents. However, there is scant evidence they have led to improved safety outcomes.

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