论文标题
用于IoT的AI/ML驱动时代的数字主权和软件工程
Digital Sovereignty and Software Engineering for the IoT-laden, AI/ML-driven Era
论文作者
论文摘要
Today's software engineering already needs to deal with challenges originating from the multidisciplinarity that is required to realize IoT products: Many variants consist of sensor/actuator-powered systems that already today use AI/ML systems to better cope with the unstructuredness of their intended operational design domain (ODD), while, at the same time, such systems need to be monitored, diagnosed, maintained, and evolved using cloud-powered dashboards and data分析的管道是该处理，汇总和分析无数数据点，最好是实时的。该立场论文讨论了与数字主权相关的某些方面，从软件工程对IOT载有IOT/ML驱动的时代的角度来看：虽然我们可以不可否认地期望从这种解决方案中获得越来越多的好处，但应在设计和操作时尤其要挑战和责任，以至于在设计和运营方面尤其要逐渐启动和启用，并且可以从最低限制和启用启用，并延伸到数字，并延伸到数字，并延伸到数字，并延伸到Quiltee和Soverever和Soverever和Soverse，并逐渐启动。
Today's software engineering already needs to deal with challenges originating from the multidisciplinarity that is required to realize IoT products: Many variants consist of sensor/actuator-powered systems that already today use AI/ML systems to better cope with the unstructuredness of their intended operational design domain (ODD), while, at the same time, such systems need to be monitored, diagnosed, maintained, and evolved using cloud-powered dashboards and data analytics pipelines that process, aggregate, and analyze countless data points preferably in real-time. This position paper discusses selected aspects related to Digital Sovereignty from a software engineering's perspective for the IoT-laden, AI/ML-driven era: While we can undeniably expect more and more benefits from such solutions, a specific light shall be shed in particular on challenges and responsibilities at design- and operation-time that, at minimum, prepare for and enable or, even better, preserve and extend digital sovereignty from a software engineering's perspective.
