Monte Carlo Simulation
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation.
A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known.
A cognitive bias where individuals underestimate the time, costs, and risks of future actions while overestimating the benefits.
A cognitive bias where people give greater weight to outcomes that are certain compared to those that are merely probable.
A cognitive bias where the total probability assigned to a set of events is less than the sum of the probabilities assigned to each event individually.
An analysis that assesses the practicality and potential success of a proposed project or system.
A strategy where a team plays the role of an adversary to identify vulnerabilities and improve the security and robustness of a system.