Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:6
Large language models are statistical prediction systems trained to generate likely sequences of words based on massive datasets.
They do not reason, understand context, or interpret meaning the same way humans do, even when their responses sound conversational or emotionally aware.
That creates a dangerous perception gap.
People increasingly interact with AI systems as though they are knowledgeable assistants or trusted companions, while the underlying models may still absorb and reproduce false, misleading, or contradictory information from training data.
The issue is not only technical accuracy — it’s human psychology. Confident outputs can make flawed information feel credible, especially when users anthropomorphize the system generating it.
Will the biggest AI risk come from the models themselves — or from how humans emotionally relate to them?
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