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The article examines the phenomenon where people devalue media upon learning it was AI-made, seeking a specific term for this reaction that includes feelings of deception and frustration.
A recent AI study reveals that people are less likely to agree with answers if they believe they were written by AI, even when written by humans, indicating a potential bias problem.
Researchers at Villanova University found that readers often rate AI-generated stories higher in quality and engagement when they believe the stories were written by humans, highlighting outdated assumptions about AI's creative capabilities.
EMORSION presents a proof-of-concept study on how film audio parameters (frequency, dynamics, directionality) affect audience emotion and immersion in a cinema setting, finding measurable differences across mixes.
This paper proposes a biologically inspired reinterpretation of surrogate safety measure thresholds using spiking neural networks, aligning with human braking behavior to bridge objective and subjective safety perception in automated driving.