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Social impacts & bias of AI

Kyunghyun Cho · published 5 August 2020

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https://openaccess.thecvf.com/content_CVPRW_2019/html/cv4gc/de_Vries_Does_Object_Recognition_Work_for_Everyone_CVPRW_2019_paper.html
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http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1C65
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https://www.nytimes.com/2018/05/04/books/review/automating-inequality-virginia-eubanks.html
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https://us.macmillan.com/books/9781250074317
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https://www.ruhabenjamin.com/race-after-technology
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https://dl.acm.org/doi/abs/10.1145/3287560.3287596
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https://arxiv.org/abs/1803.09010
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https://arxiv.org/abs/2006.16923
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https://arxiv.org/abs/1803.02324
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https://arxiv.org/abs/1909.12434
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https://arxiv.org/abs/1910.14599
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https://openreview.net/forum?id=H1g8p1BYvS
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https://www.theverge.com/2019/2/25/18229714/cognizant-facebook-content-moderator-interviews-trauma-working-conditions-arizona
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https://arxiv.org/abs/1907.02893
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https://drive.google.com/file/d/1CrkxcaQs5sD8K2HL2AWCMnrMRpFoquij/view
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https://arxiv.org/abs/1911.10500
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https://arxiv.org/abs/1901.10912
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https://arxiv.org/abs/1805.06826
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https://www.wiley.com/en-us/Statistical+Learning+Theory-p-9780471030034
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