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.

中文翻译：

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环境智能面临的巨大挑战及其对设计环境和智能社会的影响

本文重点介绍了一些重大挑战，这些挑战尤其涉及环境智能（AmI）和智能环境（SmE）中研发的社会和设计维度。由于越来越多的“智能”技术部署和使用决定了各种各样的日常生活，因此迫切需要重新考虑其社会意义以及如何使用适当的设计方法来解决这些问题。本文提出了以不同方法为基础的关于该主题的四个观点。首先，介绍并反思“一切皆有”范式的含义，由此产生的设计权衡及其在智慧城市中的应用。其次，讨论非语言交流在为AmI设计实践提供空间界面设计信息方面的潜力。第三，反思诸如“未来数据”之类的新数据类别的作用以及不确定性的作用及其对下一代AmI环境的影响。最后，讨论世界上最大的专业工程界的优缺点，以努力为自主和智能系统的道德对齐设计打造一个全球标准机构。本文从对常见问题的不同观点中受益，提供了它们之间的共性和关系，并为环境智能领域中的重要挑战提供了定位点。辩论世界上最大的专业工程界的优缺点，以努力为自主和智能系统的道德规范设计打造一个全球标准机构。本文从对常见问题的不同观点中受益，提供了它们之间的共性和关系，并为环境智能领域中的重要挑战提供了定位点。辩论世界上最大的专业工程界的优缺点，以努力为自主和智能系统的道德规范设计打造一个全球标准机构。本文从对常见问题的不同观点中受益，提供了它们之间的共性和关系，并为环境智能领域中的重要挑战提供了定位点。