AI trust paradox
The AI trust paradox (also known as the verisimilitude paradox) is the phenomenon where advanced artificial intelligence models become so proficient at mimicking human-like language and behavior that users increasingly struggle to determine if the information generated is accurate or simply plausible. Unlike earlier concerns such as Moravec's paradox, which highlighted the surprising difficulty in replicating simple human functions in AI, and the automation paradox, which deals with balancing automation and human control, the AI trust paradox specifically addresses the issue of verisimilitude—the appearance of truth that leads to misplaced trust.