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Image recognition

Researchers Uncover Critical Flaw in AI Image Recognition Tools

Of these two images labeled “get water”, the image on from the poorer household on the left (monthly income $39) received a lower CLIP score (0.21) compared to the image form the wealthier household on the right (monthly income $751; CLIP score 0.25). Image credit: Dollar Street, The Gapminder Foundation

Biases in large image-text AI model favor wealthier, Western perspectives

MIT neuroscientists have found that computational models of hearing and vision can build up their own idiosyncratic “invariances” — meaning that they respond the same way to stimuli with very different features.

Study: Deep neural networks don’t see the world the way we do

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