A conceptual paper defines 34 AI failure modes with formula-like conditions, proposes expectile-value-at-risk quantification, and proves mostly tautological or trivial existence and impossibility results without experiments.
Addressing bias in artificial intelligence for public health surveillance,
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Machine Mirages: Defining the Undefined
A conceptual paper defines 34 AI failure modes with formula-like conditions, proposes expectile-value-at-risk quantification, and proves mostly tautological or trivial existence and impossibility results without experiments.