Qiantong Yang
@acts_of_verification
@acts_of_verification
In this project, I take GPT’ s judgments of owl images as a kind of technical authority and insert them directly into the verification system without correcting any mistakes. This turns the system into a fixed, unquestioned standard that players must learn to follow. Through a three-round structure, time pressure, and error tracking, the work shows a one-way learning process in which humans quickly adjust their behaviour to fit the logic of AI, rather than teaching the system to understand human perception.
The project raises a broader question: as algorithmic control becomes more hidden and automated, are we gradually losing the power to decide what is real, what is true, and what it means to be human?