37. George Dyson. Комментарии см. на: Edge.org, 2008. July 11. UPL: http://www. edge.org/dis course/carr_google.html#dysong.
38. Доходчивое объяснение принципов машинного обучения см. в шестой главе книги: John MacCormick’s. Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today’s Computers. Princeton: Princeton University Press, 2012.
39. Max Raskin and Ilan Kolet. Wall Street Jobs Plunge as Profits Soar. Bloomberg News, 2013. April 23. UPL: http://www. bloomberg.com/news/2013–04–24/ wall-street-jobs-plunge-as-profits-soar-chart-of-the-day.html.
40. Ashwin Parameswaran. Explaining the Neglect of Doug Engelbart’s Vision: The Economic Irrelevance of Human Intelligence Augmentation // Macroresilience, 2013. July 8. UPL: http://www. macroresilience.com/2013/07/08/ explaining-the-neglect-of-doug-engelbarts-vision/.
41. См.: Daniel Martin Katz. Quantitative Legal Prediction – or – How I Learned to Stop Worrying and Start Preparing for the Data-Driven Future of the Legal Services Industry // Emory Law Journal 62, 2013. № 4. Р. 909–966.
42. Joseph Walker. Meet the New Boss: Big Data // Wall Street Journal, 2012. September 20.
43. Franco “Bifo” Berardi. The Soul at Work: From Alienation to Automation Los Angeles: Semiotext (e), 2009. Р. 96.
44. A. M. Turing. Systems of Logic Based on Ordinals // Proceedings of the London Mathematical Society 45, 1939. № 2239. Р. 161–228.
45. Там же.
46 Hector J. Levesque. On Our Best Behaviour // Lecture delivered at the International Joint Conference on Artificial Intelligence. Beijing, China, 2013. August 8.
47. См.: Nassim Nicholas Taleb. Antifragile: Things That Gain from Disorder. N. Y.: Random House, 2012. Р. 416–419.
48. Donald T. Campbell. Assessing the Impact of Planned Social Change // Occasional Paper Series. Public Affairs Center, Dartmouth College, Hanover, N.H. 1976. December. № 8.
49. Viktor Mayer-Schцnberger and Kenneth Cukier. Big Data: A Revolution That Will Transform How We Live, Work, and Think. N.Y.: Houghton Mifflin Harcourt, 2013. Р. 166.
50. Kate Crawford. The Hidden Biases in Big Data // HBR Blog Network. 2013. April 1. UPL: http://www. hbr.org/cs/2013/04/the_hidden_biases_in_big_data.html.
51. В опубликованной в 1968 году статье Уид писал: «Надо серьезно относиться к возможности использования новых компьютеров, если применение их позволит дешевле, полнее и точнее получать и сохранять данные обследования, экономя дорогое время работы врача». Lawrence L. Weed. Medical Records That Guide and Teach // New England Journal of Medicine 278, 1968. Р. 593–600, 652–657.