False Positive
As artificial intelligence (AI) continues to spread into various aspects of life, we've witnessed its potential to help, advise, and inform. At the same time, we've seen how it can easily reproduce misinformation and falsehoods, often muddling reality and creating entirely new "truths" in the process.
In False Positive, photographs taken across Berlin have been uploaded into an AI-powered "tagging" software created to help users sort through and categorize massive amounts of visual data. The software determines how likely it is (%) that thousands of possible tags indicating objects, scenes, and concepts are present in an uploaded image.
In the chosen examples, the software is seemingly unable to identify what's been captured. But how do the AI-generated suggestions nonetheless shape what we make of the abstract images? And can we un-see what it's told us to see — even if it contradicts our own conclusions?
