The paper discusses the phenomenon of inexplicable failures in AI systems becoming normalized, where such failures are increasingly accepted as part of system behavior without clear explanations.
The chart will appear after repeat observations. The current metric comes from the source.
96 source pointsReal observations only. History before source connection is not reconstructed.
This research highlights the growing acceptance of unexplained AI failures, which may impact trust and safety in critical applications.
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