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Smart Systems Everywhere – How Much Smartness Is Tolerable?

Authors: Erwin, Schoitsch;

Smart Systems Everywhere – How Much Smartness Is Tolerable?

Abstract

Smart Systems are today’s drivers of innovation, in all industrial and social areas highly automated, intelligent systems are taking over tasks, services – and maybe one day, control of our lives. The keynote will address critical incidents in several areas – medical devices, industrial plants, autonomous vehicles, smart infrastructures, privacy, (big) data, malicious security breaches and attacks, demonstrating the limitations of too excessive use of not very trustable, uncertified systems, developed rather for functionality and neglecting too much safety, security and resilience and their interplay. The paper provides an overview on methods and standardization efforts towards achievement of trustworthy systems and systems of systems, addresses societal impacts and market disruptions respectively new market opportunities, not to forget sustainability as property. Large European projects and smaller Support Actions are introduced which proposed recommendations, roadmaps and guidance, and results, how to meet the challenges – from the technical as well the economic and societal viewpoint.e

Keynote at IDIMT 2017, Session "Smart Systems Everywhere – Intelligence, Autonomy, Technology and Society"

Related Organizations
Keywords

Smart Systems, Internet of Things (IoT), Autonomous Systems, Embedded Intelligence, Cyber-physical Systems, Safety, Security, Systems-of-Systems, societal impact, liability, ethical aspects, legal aspects

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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23
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