new trending app .imageNet.

A viral processor that claims to "honestly" classify selfies using artificial intelligence technology is offering bad and racist titles

Furious users

Furious users claim that the processor, which was created by Princeton University, provided influential and racist terms for their films, such as 'Negro', 'Leaning Eye' and 'Imaginary Suspect

Machine Learning Technology

The designers of this processer have stated that their aim was to make such an impact, and that it was deliberately provoked to draw attention to discrimination  through a variety of built-in machine learning technology

Are in shock

But many users are still angry that their photos have unknowingly played an important role in this controversial project. When a journalist uploaded his cell phone using this processor, he was criticized as a 'rape suspect'. Other users are also shocked to learn that their chimneys have been criticized with various racist instigations.

Senseless one-sided and discriminatory

Trained with millions of photos, this imagenet processor uses a neural network to classify images of people.



There are many inherent problems related to machine learning and artificial intelligence, which are inadvertent, painful, unwise and one-sided and discriminatory. Often this results in a lack of diversity in the way they are trained

We like to light and show

Speaking on the website: 'ImageNet has many complex, impactful and bizarre types. All this is taken from imageNet. Some use the term misogyny or racist. Therefore, ImageNet responds accordingly. This is how it is designed. We want to shed light on what happens when technology systems are trained in complex training data. Artificial intelligence classifications of people are rarely sprayed. ImageNet provides a glimpse into that process. And this shows the way things can go wrong

The racist processor

To avoid the unilateral results it reveals, technology has been developed to show the importance of selecting the right data when training the machine learning system.



Despite the various explanations offered, people on social media sites such as Twitter over the imagenet processor are provoking their rage and posing as a racist