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It is found that several changes in human-AI interaction over time are driven primarily by repeated exposure rather than personalisation itself, however, participants interacting with personalised models experienced differences in advice-seeking and information-sharing attitudes and behaviours.
Long-term interactions with language models could lead to significant cognitive and emotional changes in users that short-term evaluations miss entirely.
VLMs are prone to critical failures that vary significantly across cultures, exposing the inadequacy of Western-centric safety benchmarks.