Why AI Systems Fail Quietly
In late-stage testing of a distributed AI platform, engineers sometimes encounter a perplexing situation: Every monitoring dashboard reads “healthy,” yet users report that the system’s decisions are slowly becoming wrong. Engineers are trained to recognize failure in familiar ways: a service crashes
ORIGINAL SOURCE →via IEEE Spectrum
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