RAY provides a responsive art experience that re-interprets Rayograph (photogram) – a 20th Century cameraless image-making technique – in the perspective of Artificial Intelligent (AI) surveillance and the changing ontology of images. The system implements Image-to-Image Translation with Conditional Adversarial Networks and a computer vision system to translate human portraits into new images of Rayograph with semantic meanings, which are further developed algorithmically through visualizing in the aesthetics of light painting. RAY bridges intelligent visualization with cameraless photography Rayograph to engage audiences with an interactive poetic experience that conveys meanings.