For instance, Hume says a user could provide a prompt as simple as "wise wizard" or as complex as combining different accents, demographic groups, occupational roles, and more. Essentially, the model ...

but that still does not have the profoundness of human language (e.g. irony, metaphors,…).” While the machine learning model was successful at distinguishing between AI and human text ...

Watermarks have the potential to become a crucial tool for trust and authenticity in the era of generative AI,” said assistant professor Yuheng Bu.