The human-side of service engineering community has an opportunity to par-ticipate in an emerging trend to connect sociotechnical system research and engineering with the DIKIW (data-information-knowledge-intelligence-wisdom) hierarchy. The digital economy is grounded in big data and infor-mation systems. The knowledge economy is being redefined in the cognitive era by artificial intelligence, machine learning, and natural language pro-cessing capabilities, and as a result our systems are getting more intelligent or smarter. However, beyond smarter, what are wiser systems? Can these terms be made more rigorous and operational? The goal of this paper is to provide a jumping off point for the AHFE HSSE community on this topic, and to ex-plore the concept of smart versus wise from three related socio-technical sys-tems perspectives: polycentric systems, viable systems, and service systems.
What Makes a System Smart? Wise?
Clara Bassano;Paolo Piciocchi;
2017-01-01
Abstract
The human-side of service engineering community has an opportunity to par-ticipate in an emerging trend to connect sociotechnical system research and engineering with the DIKIW (data-information-knowledge-intelligence-wisdom) hierarchy. The digital economy is grounded in big data and infor-mation systems. The knowledge economy is being redefined in the cognitive era by artificial intelligence, machine learning, and natural language pro-cessing capabilities, and as a result our systems are getting more intelligent or smarter. However, beyond smarter, what are wiser systems? Can these terms be made more rigorous and operational? The goal of this paper is to provide a jumping off point for the AHFE HSSE community on this topic, and to ex-plore the concept of smart versus wise from three related socio-technical sys-tems perspectives: polycentric systems, viable systems, and service systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
