Mining News Data for Peripheral Culture Training in AGI

Abstract

As computing applications edge closer toward developing human-like ability, the requirement for culture aware human-machine communication is becoming paramount. Ever evolving natural language is full of abstraction, pop-culture reference, and metaphor. Rigid language understanding implementations in Artificial Intelligence (AI) systems like voice assistants often lead to misunderstanding in command execution, degrading the user experience and accuracy of AI applications. Further, the inability for AI to have an understanding of the data in reference to itself limits its ability to fully comprehend conversation. Theorized Artificial General Intelligence (AGI) aids this problem through enabling cognitive data processing. This paper presents a novel method of training an AGI system through a peripheral interface using online news articles to increase its understanding of data in reference to current societal culture while heightening its overall awareness.