Why do AI models often still exhibit bias even after data filtering?
Chapter 1

The mountain of digital ingredients

Chapter 2

The blueprint of digital brains

Chapter 3

The heavy metal of compute

Chapter 4

The training school for algorithms

Chapter 5

Polishing and aligning the model

Ch 1 · The mountain of digital ingredients
007skaty

007skaty The global army of human annotators training artificial intelligence

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The Data Spoon
BETA

007skaty Scoop the correct data into the mix to learn how AI is trained.

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007skaty Dataset Filtering

Check the blocklist, clean the crawl, teach it right

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007skaty The origin of the ImageNet library

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The massive library of ImageNet

007skaty Crowdsourcing helped label over 14 million images in Stanford's ImageNet, allowing computer vision algorithms to recognize everyday objects.

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Quiz

How many hand-annotated images did the ImageNet dataset contain to help train computer vision?

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Quiz

Who led the creation of the massive ImageNet dataset in 2009?

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Our smartest tools rely on a vast foundation of invisible human labor.

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The global army of data labelers

007skaty This global workforce categorizes millions of daily media clips to power machine learning

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007skaty
Quiz

In which country did a significant portion of early OpenAI data labeling work take place?

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Quiz

What is the primary task of human data labelers in the creation of machine learning models?

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Fun Fact

AI data labeling: Over one million people globally work as data labelers, marking images and text to help train artificial intelligence.

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Quiz

Which of the following is a primary legal and ethical concern regarding AI web scraping?

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Quiz

What is the name of the massive, open-source repository of web crawl data used to train many AI models?

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Gossip

Would you work as an AI data labeler?

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007skaty
Quiz

Why do AI models often still exhibit bias even after data filtering?

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Quiz

What is the main purpose of data filtering before training an AI model?

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007skaty
Gossip

Should public websites block AI scraping?

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