Multimodal AI

Multimodal AI processes or generates more than one type of information, such as text, images, audio, video, sensor readings, or actions. A system might answer questions about a chart, create an image from a description, transcribe speech while recognizing speakers, or guide a robot using visual and language input. Models align different modalities in shared representations so information from one form can influence another. This creates flexible interfaces but also introduces new failure modes: visual content may contradict text, timing may be misaligned, and harmful information can cross between modalities. Evaluation must cover each input type, their combinations, accessibility needs, permissions, and the real conditions in which the system operates.