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In this paper we investigate problematic practices and consequences of large scale vision datasets.
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Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Matthew Kay, Cynthia Matuszek, and Sean A Munson · 2015
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How masculine is a flute? a replication study on gender stereotypes and preferences for musical instruments among young children
Claudia Bullerjahn, Katharina Heller, and Jan Hoffmann · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’neil · 2016
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Gender and musical instrument stereotypes in middle school children: Have trends changed?
Elizabeth R Wrape, Alexandra L Dittloff, and Jennifer L Callahan · 2016
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Visual patriarchy: Peta advertising and the commodification of sexualized bodies
Stephanie Baran · 2017
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François Chollet · 2017
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Not just ‘revenge pornography’: Australians’ experiences of image-based abuse
Nicola Henry, Anastasia Powell, and Asher Flynn · 2017
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Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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More than revenge porn: image-based sexual abuse and the reform of irish law
Clare McGlynn and Erika Rackley · 2017
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Beyond revenge porn: The continuum of image-based sexual abuse
Clare McGlynn, Erika Rackley, and Ruth Houghton · 2017
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Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, and D Sculley · 2017
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Machine learning models that remember too much
Congzheng Song, Thomas Ristenpart, and Vitaly Shmatikov · 2017
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Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta · 2017
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Blaise Aguera y Arcas, Margaret Mitchell, and Alexander Todorov · 2017
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How computers see gender: An evaluation of gender classification in commercial facial analysis services
Morgan Klaus Scheuerman, Jacob M Paul, and Jed R Brubaker · 2019
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Assessing social and intersectional biases in contextualized word representations
Yi Chern Tan and L Elisa Celis · 2019
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Haohan Wang, Songwei Ge, Eric P. Xing, and Zachary C. Lipton · 2019
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Discriminating systems
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Predictive inequity in object detection
Benjamin Wilson, Judy Hoffman, and Jamie Morgenstern · 2019
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Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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The history began from alexnet: A comprehensive survey on deep learning approaches
Md Zahangir Alom, Tarek M Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C Van Esesn, Abdul A S Awwal, and Vijayan K Asari · 2018
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