Светлый фон

Khan, Lina M., “Amazon’s Antitrust Paradox,” Yale Law Journal, 126(3), January 2017, pp. 710–805.

Yale Law Journal

Klenert, David, Enrique Fernández-Macías and José-Ignacio Antón, “Don’t Blame It on the Machines: Robots and Employment in Europe,” VoxEU, 24 February 2020. https://voxeu.org/article/dont-blame-it-machines-robots-and-employment-europe.

VoxEU

Klinger, Joel, Juan Mateos-Garcia, and Konstantinos Stathoulopoulos, “A Narrowing of AI Research?” arXiv:2009.10385 [cs.CY], 2020. http://arxiv.org/abs/2009.10385.

Kranzberg, Melvin, “Technology and History: ‘Kranzberg’s Laws’,” Technology and Culture, 27(3), 1986, pp. 544–560. https://doi.org/10.2307/3105385.

Technology and Culture

Kurzweil, Ray, The Age of Spiritual Machines: When Computers Exceed Human Intelligence (New York, NY: Penguin, 2000).

The Age of Spiritual Machines: When Computers Exceed Human Intelligence

Kurzweil, Ray, “The Law of Accelerating Returns,” Kurzweil.net, 2001. https://www.kurzweilai.net/the-law-of-accelerating-returns.

Kurzweil, Ray, “Average Transistor Price,” Singularity.com. http://www.singularity.com/charts/page59.html.

Laird, Burgess, “The Risks of Autonomous Weapons Systems for Crisis Stability and Conflict Escalation in Future U. S.-Russia Confrontations,” Rand Corporation, 2020. https://www.rand.org/blog/2020/06/the-risks-of-autonomous-weapons-systems-for-crisis.html.

Langner, Ralph, To Kill a Centrifuge: A Technical Analysis of What Stuxnet’s Creators Tried to Achieve (The Langner Group, November 2013). https://www.langner.com/to-kill-a-centrifuge/.

To Kill a Centrifuge: A Technical Analysis of What Stuxnet’s Creators Tried to Achieve

Lazarsfeld, Paul F., and Robert K. Merton, “Friendship as a Social Process: A Substantive and Methodological Analysis,” in Morroe Berger, Theodore Abel, and Charles H. Page, eds, Freedom and Control in Modern Society, (NewYork: Van Nostrand, 1954), pp. 18–66. https://archive.org/stream/in.ernet.dli.2015.498862/2015.498862.Freedom-and_djvu.txt.

Freedom and Control in Modern Society

Ledford, Heidi, “Millions of Black People Affected by Racial Bias in Health-Care Algorithms,” Nature, 574(7780), 2019, pp. 608–609. https://doi.org/10.1038/d41586-019-03228-6.

Nature

Lee, Neil, and Stephen Clarke, “Do Low-Skilled Workers Gain from High-Tech Employment Growth? High-Technology Multipliers, Employment and Wages in Britain,” Research Policy, 48(9), November 2019, 103803. https://doi.org/10.1016/j.respol.2019.05.012.

Research Policy