Excavating AI
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About
Excavating AI is a project by Kate Crawford and Trevor Paglen that explores the politics of images in machine learning training sets. It examines how these datasets are constructed, labeled, and used to train AI systems, focusing on the ImageNet dataset. The project reveals biases and assumptions embedded within these datasets, particularly in the categorization and labeling of people. ImageNet Roulette is an application that allows users to upload images and see how an AI model trained on ImageNet's 'person' categories classifies them, highlighting the problematic and offensive categories within the dataset.
Platform
Task
Features
• imagenet roulette
• imagenet analysis
• ai training set analysis
• image classification analysis
• dataset archeology
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