The human-side of service engineering community has an opportunity to partici-pate in an emerging trend to connect sociotechnical system research and engineer-ing with the DIKIW (data-information-knowledge-intelligence-wisdom) hierar-chy. The digital economy is grounded in big data and information systems. The knowledge economy is being redefined in the cognitive era by artificial intelli-gence, machine learning, and natural language processing capabilities, and as a re-sult our systems are getting more intelligent or smarter. However, beyond smart-er, what are wiser systems? Can these terms be made more rigorous and opera-tional? The goal of this paper is to provide a jumping off point for the AHFE HSSE community on this topic, and to explore the concept of smart versus wise from three related socio-technical systems perspectives: polycentric systems, via-ble systems, and service systems.
What makes a system smart? Wise?
BASSANO, Clara
;
2017-01-01
Abstract
The human-side of service engineering community has an opportunity to partici-pate in an emerging trend to connect sociotechnical system research and engineer-ing with the DIKIW (data-information-knowledge-intelligence-wisdom) hierar-chy. The digital economy is grounded in big data and information systems. The knowledge economy is being redefined in the cognitive era by artificial intelli-gence, machine learning, and natural language processing capabilities, and as a re-sult our systems are getting more intelligent or smarter. However, beyond smart-er, what are wiser systems? Can these terms be made more rigorous and opera-tional? The goal of this paper is to provide a jumping off point for the AHFE HSSE community on this topic, and to explore the concept of smart versus wise from three related socio-technical systems perspectives: polycentric systems, via-ble systems, and service systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
