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30 An Intelligence in Our Image Bogost, Ian, “The Cathedral of Computation,” Atlantic, January 15, 2015. As of May 27, 2016: h t t p : / / w w w . t h e a t l a n t i c . c o m / t e c h n o l o g y / a r c h i v e / 2 0 15 / 0 1 / the-cathedral-of-computation/384300/ Bottou, Léon, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, and Ed Snelson, “Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising,” Journal of Machine Learning Research, Vol. 14, No. 1, 2013, pp. 3207–3260. Boyd, Danah, “The Politics of Real Names,” Communications of the ACM, Vol. 55, No. 8, 2012, pp. 29–31. Bradley, Ryan, “Waze and the Traffic Panopticon,” New Yorker, June 2, 2015. As of December 2, 2016: http://www.newyorker.com/business/currency/waze-and-the-traffic-panopticon Brown, Brad, Michael Chui, and James Manyika, “Are You Ready for the Era of ‘Big Data’?” McKinsey Quarterly, Vol. 4, No. 1, October 2011, pp. 24–35. Caliskan-Islam, Aylin, Joanna J. Bryson, and Arvind Narayanan, “Semantics Derived Automatically from Language Corpora Necessarily Contain Human Biases,” Ithaca, N.Y.: Cornell University Library, 2016. As of February 2, 2017: https://arxiv.org/abs/1608.07187 Citron, Danielle Keats, “Technological Due Process,” Washington University Law Review, Vol. 85, No. 6, 2007, pp. 1249–1313. Citron, Danielle Keats, and Frank A. Pasquale, “The Scored Society: Due Process for Automated Predictions,” Washington Law Review, Vol. 89, 2014. Crawford, Kate, “Think Again: Big Data,” Foreign Policy, Vol. 9, May 10, 2013. DeDeo, Simon, “Wrong Side of the Tracks: Big Data and Protected Categories,” Ithaca, N.Y.: Cornell University Library, May 28, 2015. As of March 7, 2017: https://arxiv.org/pdf/1412.4643v2.pdf Diakopoulos, Nicholas, “Algorithmic Defamation: The Case of the Shameless Autocomplete,” Tow Center for Digital Journalism website, August 6, 2013. As of February 14, 2017: http://towcenter.org/algorithmic-defamation-the-case-of-the-shameless- autocomplete/ ———, “Accountability in Algorithmic Decision Making,” Communications of the ACM, Vol. 59, No. 2, 2016, pp. 56–62. Dwork, Cynthia, “An ad Omnia Approach to Defining and Achieving Private Data Analysis,” in Francesco Bonchi, Eleena Ferrari, Bradley Malin, and Yücek Saygin, eds., Privacy, Security, and Trust in KDD, New York: Springer, 2008a, pp. 1–13.PDF Image | Intelligence in Our Image Risks of Bias and Errors in Artificial Intelligence
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