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Scathing study exposes Google’s harmful approach to AI development

14/07/2022

A study published earlier this week by Surge AI appears to lay bare one of the biggest problems plaguing the AI industry: bullshit, exploitative data-labeling practices. Last year, Google built a dataset called “GoEmotions.” It was billed as a “fine-grained emotion dataset” — basically a ready-to-train-on...
A study published earlier this week by Surge AI appears to lay bare one of the biggest problems plaguing the AI industry: bullshit, exploitative data-labeling practices. Last year, Google built a called “GoEmotions.” It was billed as a “fine-grained dataset” — basically a ready-to-train-on for building AI that can recognize emotional sentiment in text. Per a Google blog post: In “GoEmotions: A Dataset of Fine-Grained Emotions”, we describe GoEmotions, a human-annotated of 58k Reddit comments extracted from popular English-language subreddits and labeled with 27 categories. As the largest fully annotated English language fine-grained dataset…This story continues at The Next WebOr just read more coverage about: Google
studydatasetgoogleemotion“goemotions

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