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Confidence in Assurance 2.0 Cases
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An assurance case should provide justifiable confidence in the truth of a claim about some critical property of a system or procedure, such as safety or security. We consider how confidence can be assessed in the rigorous approach we call Assurance 2.0. Our goal is indefeasible confidence and we approach it from four different perspectives: logical soundness, probabilistic assessment, dialectical examination, and residual risks.
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Cited by 1 Pith paper
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Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems
A position paper mapping traditional critical systems engineering to AI safety frameworks and advocating Assurance 2.0-style cases, broader boundaries, and explicit risk tolerability.
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