Peltzman Effect
The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation.
The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation.
A risk management model that illustrates how multiple layers of defense (like slices of Swiss cheese) can prevent failures, despite each layer having its own weaknesses.
Design strategies aimed at preventing user errors before they occur.
A Japanese term for "mistake-proofing," referring to any mechanism or process that helps prevent errors by design.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
The tendency to believe that things will always function the way they normally have, often leading to underestimation of disaster risks.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems.