Automation and Artificial Intelligence: How Machines are Affecting People and Places.

Autor/Urheber	Mark Muro; Robert Maxim; Jacob Whiton
Titel	Automation and Artificial Intelligence: How Machines are Affecting People and Places.
Quelle	Brookings India (2019) PDF als Volltext kostenfreie Datei
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Commerce and Industry; Intra-Industry Trade; Electronics Industry; Computer Industry; Vocational Education; Technical Education; Quality Education; Primary Education; Educational Systems; Industry; Development cooperation; Industrialization; Industrial Economics; Industrial Development; Industrial Policy; Technology assessment; Technological institutes; Employment; Information Media; Mass Media; Export Oriented Industries; Electronics; Computers; Telecommunications Industry; Manufacturing Industries; Microprocessors; Electronic Equipment; Communication Industry; Training programs; Vocational training; Training methods; Economic growth; Training courses; Educational aspects; Compulsory education; Economics of education; Educational policy; Industrial Projects; Industrial Products; Industrial Sector; Microelectronics industry; Electronic industries; Digital electronics; Microelectronics; Podcasts; Music videos; Internet videos; Interactive videos; Videos; Video recordings; TV; Mobile communication systems; Sound recordings; Motion pictures; Automation; Educational innovations; Technical institutes; Engineering schools
Abstract	The power and prospect of automation and artificial intelligence (AI) initially alarmed technology experts, for fear that machine advancements would destroy jobs. Then came a correction of sorts, with a wave of reassurances minimizing their negative impacts. Now, the discourse appears to be arriving at a more complicated, mixed understanding that suggests that automation will bring neither apocalypse nor utopia, but instead both benefits and stresses alike. Such is the ambiguous and sometimes disembodied nature of the "future of work" discussion. Which is where the present analysis aims to help. Intended to clear up misconceptions on the subject of automation, the following report employs government and private data, including from the McKinsey Global Institute, to develop both backward- and forward-looking analyses of the impacts of automation over the years 1980 to 2016 and 2016 to 2030 across some 800 occupations. In doing so, the report assesses past and coming trends as they affect both people and communities, and suggests a comprehensive response framework for national and state-local policymakers.
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