Thanks for pointing this out. I may have unconsciously used the phrase but I will henceforth be mindful of using more inclusive terms.
I urge you not to use #godfathers of #AI It wipes out contributions made my numerous women to #AIhttps://twitter.com/drfeifei/status/1252676900490579970 …
Thank you Anima! 
A very recent research @PNASNews by my @Stanford colleagues shows exactly this - “(underrepresented group’s) novel contributions are (often) devalued and discounted” in academia, including “gender & racial minorities”. https://www.pnas.org/content/early/2020/04/10/1915378117 … https://twitter.com/AnimaAnandkumar/status/1252659372250894338 …
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*used this phrase before
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I much prefer "pioneers"
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Pioneers may be gender neutral but it calls in narratives of colonialism. How about founding scholars?
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One more observation is that, a large number of academics do not discriminate, however almost invariably any science communicator (articles, surveys etc) seems to discount contribution of
#DiversityInAI. It hurts the image of the field to outside world.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Agreed on the term, great point. But also I think you miss the mark a bit: imagenet was a great practical accomplishment but the scandal, if there is one, is why there were no women working at the top of the field when the great intellectual accomplishments were made.
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How is Imagenet not an intellectual accomplishment??
@drfeifei is a trailblazer who went against this kind of snobbery that did not respect data collection as a key ingredient of#DeepLearning Now all the billion dollar companies are hoarding tons of data
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Patriarchy is drilled into our psyche, and so the vocabulary follows suit. But it is shame so many brilliant scientists go unrecognized and/or underappreciated and disproportionately so in certain sections of the society.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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It ignores contributions by thousands of other people who didn't happen to become famous. Let's not forget, neural networks were not invented last decade.
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Yes, there were many important early women in neural networks, like Corinna Cortes, who extended NNs to "Support Vector Networks" in a paper now cited 40K times. How much do we need to celebrate the three men who weren't able to extend their core theories?
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