A workshop kiln-booking lead hears that people may submit fake evaluations when rating an AI-generated test report. Which official security vector names manipulating training or rating data this way?
Select an answer to reveal the explanation.
Short Explanation
Fake five-stars on sloppy AI reports are not harmless applause — they can poison what the system learns to call “good.” That is data poisoning in the syllabus sense. It is about corrupted training or rating signals, not writing malware.
Full Explanation
Data poisoning means manipulating training data. In a testing context, the syllabus example includes fake evaluations when people rate AI-generated test reports. Testers should recognize the vector and protect feedback loops, without needing a recipe for corrupting a corpus.