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Доэрти П., Уилсон Д. Человек + машина. Новые принципы работы в эпоху искусственного интеллекта. М.: Манн, Иванов и Фербер, 2019.
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Bhaskar Ghosh, Adam Burden, and James Wilson, “Full Value. Full Stop. How to Scale Innovation and Achieve Full Value with Future Systems,” Accenture, 2019, https://www.accenture.com/us-en/insights/future-systems/future-ready-enterprise-systems.
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Paul Daugherty, Bhaskar Ghosh, Annette Rippert, Ramnath Venkataraman, and H. James Wilson, “Make the Leap, Take the Lead,” Accenture, April 28, 2021, https://www.accenture.com/us-en/insights/technology/scaling-enterprise-digital-transformation.
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Intelligence, Data, Expertise, Architecture, Strategy. Прим. ред.
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Here, we are, of course, paraphrasing Marshall McLuhan’s observation, https://mcluhangalaxy.wordpress.com/2013/04/01/we-shape-our-tools-and-thereafter-our-tools-shape-us/.
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Alan Turing, “Computing Machinery and Intelligence”, Mind, LIX (236): 433–460, October 1950, https://doi.org/10.1093/mind/LIX.236.433.
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Библия, Ветхий Завет. Книга пророка Исаии, 11:6.
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Alison Gopnik, “The Ultimate Learning Machines”, Wall Street Journal, October 11, 2019, https://www.wsj.com/articles/the-ultimate-learning-machines-11570806023.
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Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman, “Building Machines That Learn and Think Like People”, Behavioral and Brain Sciences, 40, 2017, https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/building-machines-that-learn-and-think-like-people/A9535B1D745A0377E16C590E14B94993.
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Доэрти П., Уилсон Д. Человек + машина. Новые принципы работы в эпоху искусственного интеллекта. М.: Манн, Иванов и Фербер, 2019; Paul R. Daugherty and H. James Wilson, Human + Machine: Reimagining Work in the Age of AI (Boston: Harvard Business Review Press, 2018).
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Alison DeNisco Rayome, “Why Companies Plan to Double AI Projects in the Next Year”, TechRepublic, July 15, 2019, https://tek.io/2Y3heCK.
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Bhaskar Ghosh, Adam Burden and James Wilson, “Full Value. Full Stop. How to Scale Innovation and Achieve Full Value with Future Systems”, Accenture, 2019, https://www.accenture.com/us-en/insights/future-systems/future-ready-enterprise-systems.
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Karen Hao, “We Analyzed 16,625 Papers to Figure Out Where AI Is Headed Next”, MIT Technology Review, January 25, 2019, https://www.technologyreview.com/2019/01/25/1436/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/.
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Tristan Greene, “AI Fails to Recognize These Nature Images 98 % of the Time,” TNW, July 18, 2019, https://thenextweb.com/artificial-Intelligence/2019/07/18/ai-fails-to-recognize-these-nature-images-98-of-the-time/.
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Carlos Zednick, “Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence,” arXiv, 2020, https://arxiv.org/ftp/arxiv/papers/1903/1903.04361.pdf.
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Gary Marcus and Ernest Davis, Rebooting AI: Building Artificial Intelligence We Can Trust (New York: Pantheon Books, 2019), 69.
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Marcus and Davis, Rebooting AI, 162.
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Brian Bergstein, “What AI Still Can’t Do”, MIT Technology Review, February 19, 2020, https://www.technologyreview.com/s/615189/what-ai-still-cant-do/.
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Реверсивный инжиниринг (обратный инжиниринг, обратная разработка) – изучение готового устройства с целью понять принципы работы в устройстве и создать его копию. Прим. ред.