期刊
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
卷 11, 期 1, 页码 87-107出版社
IOS PRESS
DOI: 10.3233/AIS-180507
关键词
Ambient intelligence; artificial intelligence; smart environments; smart-everything; humane and sociable AmI; citizen-centered design; smart city; self-aware city; hybrid city; design trade-offs; human control; human in the loop; non-verbal communication; spatial communication interfaces; data science; future data; multi-armed bandit problem; uncertainty; privacy by design; general data protection regulations; GDPR; autonomous intelligent systems; general artificial intelligence; machine learning; Opaque AI; algorithmic transparency; traceability of algorithms; ethically aligned design; governance of technology
This paper highlights selected grand challenges that concern especially the social and the design dimensions of research and development in Ambient Intelligence (AmI) and Smart Environments (SmE). Due to the increasing deployment and usage of 'smart' technologies determining a wide range of everyday life activities, there is an urgent need to reconsider their societal implications and how to address these implications with appropriate design methods. The paper presents four perspectives on the subject grounded in different approaches. First, introducing and reflecting on the implications of the 'smart-everything' paradigm, the resulting design trade-offs and their application to smart cities. Second, discussing the potential of non-verbal communication for informing the design of spatial interfaces for AmI design practices. Third, reflecting on the role of new data categories such as 'future data' and the role of uncertainty and their implications for the next generation of AmI environments. Finally, debating the merits and shortfalls of the world's largest professional engineering community effort to craft a global standards body on ethically aligned design for autonomous and intelligent systems. The paper benefits from taking different perspectives on common issues, provides commonalities and relationships between them and provides anchor points for important challenges in the field of ambient intelligence.
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