Labeling the World


2023 Spring
GMDP-548 Media Production
AI & Algorithm Ethic

Adobe Effect, Premiere 2 weeks, Individual Work
In today's era, we find ourselves immersed in a world brimming with advanced technologies such as machine learning for object identification, pattern recognition, and labeling methodologies. These technologies have become so integral to our perception and understanding of the world that they even shape our virtual realities. However, the implications of this transformation are not entirely evident.
In this video, we delve into the use of object recognition as a means to examine the ways in which we encode our reality into data, and how we can extract the significance of the original context once it has been encoded. The title "World, 0.7" symbolizes the concept that the world, when encoded into a recognition system, can only be recognized with a 0.7 probability of being genuine.






Linkedin: linghang
Email : lcai@inside.artcenter.edu
Location : Pasadena, California, United State