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Tomorrow’s Paradox: Refining Knowledge by Smarter Information and Communications Technologies while Humans Tend to Become a Limited Factor of Performance

Victor Greu

Romanian Distribution Committee Magazine, 2016, vol. 7, issue 1, 10-17

Abstract: The paper analyzes some challenges of the exponential development ofInformation and Communications Technologies (ICT)in the Information society (IS) toward Knowledge Based Society (KBS), focusing on the premises of strange evolutions of the inherent interactions between humans and ICT smart machines along the complex and dynamic processes of generating knowledge and refining knowledge, caused by the natural limits of humans. The analysis reveals the detailed mechanisms which could lead to abnormal or paradox situations when ICT smart machines could/should replace humans. The paradox could appear when using such new technologies to replace human in order to avoid the consequences of routine stress, fatigue but especially the lack of responsibility in specific applications. Also, the analysis approaches the main consequence of “data deluge” (overwhelming data“products”), as for an optimal efficiency for IS/KBS, all these “products” of ICT must be highly “processed” in order to provide useful knowledge and eventually refined knowledge, but, naturally, the analysis try to answer to the question to what extent smart machines could/should replace humans. The paper main conclusion is that the paper title (Tomorrow’s paradox ...) is intended to generate an alarm signal about the abnormal situation where humankind is almost arrived, as we have to create such “smart machines” which could help us to get knowledge and refined knowledge designated to fight against ourselves, i.e. to avoid the consequences of a large diversity of aberrant behaviour generated by the average person or exception individuals.

Keywords: genome sequencing; big data; data deluge; smart machines; communications and information technology; information society; knowledge based society. (search for similar items in EconPapers)
JEL-codes: L63 L86 M15 O13 O33 (search for similar items in EconPapers)
Date: 2016
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