• Campbell M., Hoane A. J., Hsu F. Deep Blue // Artificial Intelligence. 2002. № 134. С. 57–82.

• Caplan B. The Case Against Education: Why the Education System Is a Waste of Time and Money. Oxford: Princeton University Press, 2018.

• Carranza-Rojas J., Goeau H., Bonnet P. Going Deeper in the Automated Identification of Herbarium Specimens // BMC Evolutionary Biology. 2017. № 17 (181).

• Chi Dao M., Das M., Koczan Z., Lian W. Drivers of Declining Labor Share of Income // IMF Blog. 2017.

• Chien Y., Morris P. Is U.S. Manufacturing Really Declining? // Federal Bank of St. Louis Blog. 2017. Апрель.

• Chui M., George K., Manyika J., Miremadi M. Human + Machine: A New Era of Automation in Manufacturing// McKinsey & Co. 2017. Сентябрь.

• Cingano F. Trends in Income Inequality and Its Impact on Economic Growth // OECD Social, Employment and Migration Working Paper. 2014. № 163.

• Clark G. The Agricultural Revolution and the Industrial Revolution: England, 1500–1912. University of California, Davis, 2002.

• Clark G. A Farewell to Alms. Princeton, NJ: Princeton University Press, 2007.

• Cobb C., Douglas P. A Theory of Production’ // American Economic Review. 1928. № 1 (18). С. 139–165.

• Cohen G. A. If You’re an Egalitarian, How Come You’re So Rich? London: Harvard University Press, 2001.

• Cohen G. A. Karl Marx’s Theory of History: A Defence. Oxford: Clarendon Press, 1978.

• Cohen G. A. Rescuing Justice and Equality. London: Harvard University Press, 2008.

• Cole G. D. H. A History of Socialist Thought. London: St Martin’s Press, 1953.

• Colton S., Wiggins G. Computational Creativity: The Final Frontier? // Proceedings of the 20th European Conference on Artificial Intelligence. 2012. С. 21–26.

• Cowen T. Average Is Over: Powering America Beyond the Age of the Great Stagnation. New York: Dutton, 2013.

• Cox M. Schumpeter in His Own Words // Federal Reserve Bank of Dallas: Economic Insights. 2001. № 3 (6).

• Crevier D. AI: The Tumultuous History of the Search for Artificial Intelligence. New York: Basic Books, 1993.

• Cribb J., Andrew H., Robert J., Keller A. N. Living Standards, Poverty and Inequality in the UK: 2017 // Institute for Fiscal Studies. 2017. 19 июля.

• Dabla-Norris E., Kochhar K., Ricka F. et al. Causes and Consequences of Income Inequality: A Global Perspective // IMF Staff Discussion Note. 2015.

• Davis A., Rubinstein M., Wadhwa N. et al. The Visual Microphone: Passive Recovery of Sound from Video // ACM Transactions on Graphics (TOG). 2014. № 4 (33).

• De Fauw J., Ledsam J., Romera-Paredes B., et al. Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease // Nature Medicine. 2018. № 24. С. 1342–1350.

• Deloitte. From Brawn to Brains: The Impact of Technology on Jobs in the UK. 2015.

• Deming D. The Growing Importance of Social Skills in the Labor Market // Quarterly Journal of Economics. 2017. № 4 (132). С. 1593–1640.

• Dennett D. From Bacteria to Bach and Back. London: Allen Lane, 2017.

• Dennett D. A Perfect and Beautiful Machine: What Darwin’s Theory of Evolution Reveals About Artificial Intelligence // Atlantic. 2012. 22 июня.

• Diamond P., Saez E. The Case for a Progressive Tax: From Basic Research to Policy Recommendations // Journal of Economic Perspectives. 2011. № 4 (25). С. 165–190.

• Dimsdale N., Horsewood N., Van Riel A. Unemployment in Interwar Germany: An Analysis of the Labor Market, 1927–1936’ // Journal of Economic History. 2006. № 3 (66). С. 778–808.

• Dreyfus H. What Computers Can’t Do: The Limits of Artificial Intelligence. New York: Harper & Row, 1979.

• Eberstadt N. Men Without Work: America’s Invisible Crisis. West Conshohocken, PA: Templeton Press, 2016.

• Eliot T. S. Collected Poems 1909–1962. London: Faber and Faber, 2002.

• Elliott S. W. Computers and the Future of Skill Demand // OECD Educational Research and Innovation. 2017.

• Elster J. Comment on Van der Veen and Van Parijs // Theory and Society. 1986. № 5 (15). С. 709–721.

• Esteva A., Kuprel B., Novoa R. A. et al. Dermatologist-level Classification of Skin Cancer with Deep Neural Networks // Nature. 2017. № 542. С. 115–118.

• Executive Office of the President. Artificial Intelligence, Automation, and the Economy. 2016. December.

• Ezrachi A., Stucke M. Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy. Cambridge, MA: Harvard University Press, 2016.

• Feigenbaum G. Conversations with John Searle. Libros En Red, 2003.

• Felipe J., Bayudan-Dacuycuy C., Lanzafame M. The Declining Share of Agricultural Employment in China: How Fast? // Structural Change and Economic Dynamics. 2016. № 37. С. 127–137.

• Frayne D. The Refusal of Work: The Theory and Practice of Resistance to Work. Zed Books, 2015.

• Freud S. Civilization and Its Discontent. New York: W. W. Norton, 2010.

• Freund C., Oliver S. The Origins of the Superrich: The Billionaire Characteristics Database // Peterson Institute for International Economics. 2016. № 1 (16).

• Frey C., Osborne М. The Future of Employment: How Susceptible Are Jobs to Computerisation? // Technological Forecasting and Social Change. 2017, January. № 114. С. 254–280.

• Frey C., Osborne М., Holmes C. et al. Technology at Work v 2.0: The Future Is Not What It Used to Be. Oxford Martin School and Citi, 2016.

• Friedman B. M. Born to Be Free // New York Review of Books. 2017. 12 октября.

• Fry H. Hello World: How to Be Human in the Age of the Machine. London: Penguin, 2018.

• Galbraith J. K. American Capitalism: The Concept of Countervailing Power. East-ford, CT: Martino Fine Books, 2012.

• Garber M. Vested Interests: Cross-Dressing and Cultural Anxiety. New York: Routledge, 2012.

• Gerth H. H., Mills C. W. (eds.) Introduction: The Man and His Work // From Max Weber: Essays in Sociology. Oxford: Oxford University Press, 1946.

• Goldin C., Lawrence K. The Race Between Education and Technology. London: Harvard University Press, 2009.

• Good I. J. Speculations Concerning the First Ultraintelligent Machine // Advances in Computers. 1966. № 6. С. 31–88.

• Goodman J., Melkers J., Pallais A. Can Online Delivery Increase Access to Education? // Journal of Labor Economics. 2019. № 1 (37).

• Goos M., Manning A. Lousy and Lovely Jobs: The Rising Polarization of Work in Britain // Review of Economics and Statistics. 2007. № 1 (89). С. 119–133.

• Goos M., Manning F., Salomons A. Explaining Job Polarization: Routine-Biased Technological Change and Offshoring // American Economic Review. 2014. № 8 (104). С. 2509–2526.

• Gordon R. The Rise and Fall of American Growth. Oxford: Princeton University Press, 2017.

• Grace K., Salvatier J., Dafoe A. et al. When Will AI Exceed Human Performance? Evidence from AI Experts // Journal of Artificial Intelligence Research. 2018. № 62 (2018). С. 729–754.

• Graetz G., Michaels G. Robots at Work // Review of Economics and Statistics. 2018. № 5 (100). С. 753–768.

• Grossman M., Cormack G. Technology-Assisted Review in e-Discovery Can Be More Effective and More Efficient than Exhaustive Manual Review // Richmond Journal of Law and Technology. 2011. № 3 (17).

• Haldane A. In Giving, How Much Do We