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Automation
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====Current limitations==== Many roles for humans in industrial processes presently lie beyond the scope of automation. Human-level [[pattern recognition]], [[language comprehension]], and language production ability are well beyond the capabilities of modern mechanical and computer systems (but see ''[[Watson computer]]''). Tasks requiring subjective assessment or synthesis of complex sensory data, such as scents and sounds, as well as high-level tasks such as strategic planning, currently require human expertise. In many cases, the use of humans is more [[cost-effective]] than mechanical approaches even where the automation of industrial tasks is possible. Therefore, [[algorithmic management]] as the digital rationalization of human labor instead of its substitution has emerged as an alternative technological strategy.<ref>{{Cite journal |last=Schaupp |first=Simon |date=2022-05-23 |title=COVID-19, economic crises and digitalisation: How algorithmic management became an alternative to automation |journal=New Technology, Work and Employment |volume=38 |issue=2 |language=en |pages=311β329 |doi=10.1111/ntwe.12246 |issn=0268-1072 |pmc=9347406 |pmid=35936383}}</ref> Overcoming these obstacles is a theorized path to [[post-scarcity]] economics.<ref>{{Cite book |last=Benanav |first=Aaron |title=Automation and the future of work |date=2020 |isbn=978-1-83976-129-4 |location=London |publisher=Verso |oclc=1147891672}}</ref>
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