Algorithmic visuality: a social approach to machine vision in the post-internet era
Abstract
Within the framework of visual studies, we observe a development of singular practices whose technological orientation is based on the innovation of artificial intelligence algorithms. In this context, the research seeks to reveal the emergence of a new interpretation of visuality, specifically, through the analysis of two main lines (whose relationship we try to show): on the one hand, artificial vision and its extension in posinternet universe of social networks and the web, where the image loses its symbolic meaning and its aesthetic dimension to be valued as information that changes the state of a system; and, on the other hand, the social knowledge of the virtual world through the use, attitude and human behavior with intelligent algorithms. Through the multidisciplinary bibliographic review, as the main method, the conclusions point to an important presence of a visuality dependent on intelligent machines, which provide a greater enrichment of the study of both human nature and social reality in the virtual environment.
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