The term "Explainable Multimodal AI" belongs to the categories Artificial Intelligence, Digital Transformation and Industry and Factory 4.0.
Explainable multimodal AI describes a special type of artificial intelligence that can process different types of information simultaneously and make its decisions understandable for humans. "Multimodal" means that the AI can simultaneously analyse text, images, sounds or graphics, for example. The "explainable" means that the AI shows exactly how it arrived at a particular decision.
A practical example: In a modern factory, an explainable multimodal AI monitors production. It simultaneously analyses video images from machines, sensor values and reports from employees. If the AI points out a possible malfunction, it can explain precisely that it was caused by conspicuous noises in the audio, a change in vibration in the sensor and an unusual pattern on the video camera.
For decision-makers, this means that the results of AI become comprehensible and more transparent. This means that sources of error can be recognised and rectified more quickly and trust in automated systems increases - an important prerequisite for the successful use of artificial intelligence in companies.
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