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Rapesuspect

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About

ImageNet Roulette is a web application built as part of the Training Humans art exhibit, which uses a neural network machine learning system to categorize images of people.

History

In mid-September 2019, the ImageNet Roulette[4] web app was launched, allowing users to upload photos to be scanned by the neural network (shown below).

ZENSR busy bee, live wire, shar tribesman (0.06) ILLCOUL eager beave anarchist, nihilist, syndicalist (0.04) millionairess (0.03) fighter pilot (0.06) ImageNet Roulette ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the "Person" categories from the ImageNet dataset which has over 2,500 labels used to classify images of people It is currently on show as part of the Training Humans exhibition by Trevor Paglen and Kate Crawford at the Fondazione Prada museum in Milan. geNet Roulette isn't designed to handle heavy traffic so if it's not working for you please be a little patient. Provide an image URL Start Webcam or Classify image from URL or upload an image: Choose File No file chosen

Online Reaction

On September 15th, 2019, Twitter user @DarthLux tweeted a photograph of herself scanned by ImageNet Roulette identifying her as "stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish" along with the message "is imagenet roulette tryna fuck" (shown below). Within 48 hours, the tweet gained over 1,400 likes.

The following day, Twitter user Kate Crawford tweeted about the app, stating "It reveals deep problems with classifying humans – be it race, gender, emotions or characteristics" (shown below).

On September 17th, Twitter user Max Read[1] tweeted The Situation Room photo tagged by the ImageNet Roulette app (shown below).

That day, Business Insider[3] published an article titled "The selfie tool going viral for its weirdly specific captions is really designed to show how bigoted AI can be."

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ImageNet Roulette

ImageNet Roulette

Updated Sep 18, 2019 at 05:53AM EDT by andcallmeshirley.

Added Sep 17, 2019 at 12:31PM EDT by Don.

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About

ImageNet Roulette is a web application built as part of the Training Humans art exhibit, which uses a neural network machine learning system to categorize images of people.

History

In mid-September 2019, the ImageNet Roulette[4] web app was launched, allowing users to upload photos to be scanned by the neural network (shown below).


ZENSR busy bee, live wire, shar tribesman (0.06) ILLCOUL eager beave anarchist, nihilist, syndicalist (0.04) millionairess (0.03) fighter pilot (0.06) ImageNet Roulette ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the "Person" categories from the ImageNet dataset which has over 2,500 labels used to classify images of people It is currently on show as part of the Training Humans exhibition by Trevor Paglen and Kate Crawford at the Fondazione Prada museum in Milan. geNet Roulette isn't designed to handle heavy traffic so if it's not working for you please be a little patient. Provide an image URL Start Webcam or Classify image from URL or upload an image: Choose File No file chosen

Online Reaction

On September 15th, 2019, Twitter user @DarthLux tweeted a photograph of herself scanned by ImageNet Roulette identifying her as "stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish" along with the message "is imagenet roulette tryna fuck" (shown below). Within 48 hours, the tweet gained over 1,400 likes.



The following day, Twitter user Kate Crawford tweeted about the app, stating "It reveals deep problems with classifying humans – be it race, gender, emotions or characteristics" (shown below).



On September 17th, Twitter user Max Read[1] tweeted The Situation Room photo tagged by the ImageNet Roulette app (shown below).



That day, Business Insider[3] published an article titled "The selfie tool going viral for its weirdly specific captions is really designed to show how bigoted AI can be."

Search Interest

External References

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Recent Images 22 total


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