Abstract
Skraaning and Jamieson (2023) remind us that automation failures are rarely the result of failures of individual components of the automated system itself but rather from unanticipated interactions within the larger system of which the automation is a part. Their preliminary taxonomy of automation failure mechanisms offers an important contribution to the literature. This commentary further expands the range of systemic automation failure mechanisms that researchers, designers, and evaluators need to be aware of and attempt to guard against—be it through analysis, design, or evaluation. The examples come from the Fukushima Nuclear Accident, automated vehicle accidents, as well as new failure mechanisms that arise from emerging machine learning (ML) technologies.
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