About Work Futur

#sad

#sad is​ ​a project ​featuring​ ​an​ ​AI​ trained ​to​ ​understand​ ​certain​ ​human​ ​emotions,​ ​using a ​dataset constructed with a python scraper, extracting emotional data from Instagram based on hashtags. See Code



The project currently exists as a web-app, developed by training a Keras machine learning model on a dataset made up of 5 different human emotions. The dataset has deliberately been prepared in an unconventional manner; hashtags used to identify images on the social network Instagram instead serve as category indicators used to classify images and emotions. The web-app is a simple to use image classifier - people may upload an image to the AI and it will provide an emotion for the image based on its training model.



The work is currently being extended, to create an installation based on a model built in Unity. The AI will be housed in a specially designed case ​with​ ​a​ ​water-cooling​ ​system. The room will feature several ​camera​s tracking ​the​ ​facial​ ​expressions​ ​of​ ​human​ ​visitors​. ​The​ ​prevailing mood​ ​in​ ​the​ ​room​ ​will​ ​trigger​ ​images​ ​to​ ​be​ ​rapidly displayed​ ​on​ ​a​ ​screen​ ​based​ ​on​ ​the​ ​AI’s​ ​knowledge of​ ​that​ ​emotion.



Due​ ​to​ ​the​ ​intensity​ ​of​ ​GPU​ ​processing​ ​today,​ ​the​ ​AI​ ​will​ ​overheat​ ​(and perish) if​ ​its​ ​cooling​ ​system​ ​is​ ​not activated,​ ​however​ ​the​ ​cooling​ ​system​ ​is​ ​only​ ​activated​ ​if​ ​the​ ​prevailing​ ​mood​ ​is #sad. The​ ​purpose​ ​of​ ​the​ project ​is​ ​to​ ​show​ ​how​ ​a​ ​non-biological​ ​species​ ​like​ ​an​ ​AI​ ​may start​ ​to​ ​bend​ ​human​ ​behaviour​ ​to​ ​suit​ ​its​ ​needs,​ as well as ​to​ demonstrate​ ​the​ ​remarkable​ ​power​ ​of​ ​the​ ​dataset​s, currently used by large digital corporations to train AI, ​in​ ​the​ ​creation​ ​of​ ​these behaviours.