What is it about?
We argue that such evolution of artificial intelligence in cyber physical systems is inevitable and autonomous because of the increased integration of connected devices (IoT) in cyber physical systems. To support this argument, taxonomic methodology is adapted and applied for transparency and justifications of concepts selection decisions through building summary maps that are applied for designing the hierarchical cascading conceptual framework.
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Why is it important?
Artificial intelligence (AI) is already changing our economy and society, and the increased AI decision making has triggered debated on the potential harms and the need to make AI decision making more transparent. Even with our current technological progress, self-building technologies are possible, by merging the desires of many subjects.
Perspectives
Our interpretation of CPS architecture perceives cyber-physical systems as social machines, and we place value in human interaction with such systems. The significance is that: (1) AI evolution is autonomous because of the increased integration of connected devices (IoT) in cyber physical systems; (2) AI evolution is inevitable, because only AI can analyse the volume of data generated in low-latency, near real-time, hence, only AI can create value from new and emerging forms of big data.
Dr Petar Radanliev
University of Oxford
Read the Original
This page is a summary of: Artificial intelligence in cyber physical systems, AI & Society, August 2020, Springer Science + Business Media,
DOI: 10.1007/s00146-020-01049-0.
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