A new generation of increasingly autonomous and self-learning systems, which we call embodied systems, is about to be developed. When deploying these systems into a real-life context we face various engineering challenges, as it is crucial to coordinate the behavior of embodied systems in a beneficial manner, ensure their compatibility with our human-centered social values, and design verifiably safe and reliable human-machine interaction. We are arguing that raditional systems engineering is coming to a climacteric from embedded to embodied systems, and with assuring the trustworthiness of dynamic federations of situationally aware, intent-driven, explorative, ever-evolving, largely non-predictable, and increasingly autonomous embodied systems in uncertain, complex, and unpredictable real-world contexts. We are also identifying a number of urgent systems challenges for trustworthy embodied systems, including robust and human-centric AI, cognitive architectures, uncertainty quantification, trustworthy self-integration, and continual analysis and assurance.

研究了面对真实环境中的各种工程挑战，为保证具有人类中心社会价值的协调行为，设计可靠和可验证安全的人机交互，我们正在为值得信赖的具有不断发展、自主学习、意图驱动、探索性的、大规模非可预测的、增强的具体化系统识别一些紧迫的系统挑战，包括具有鲁棒性和人类中心的AI，认知架构、不确定性量化、可信自我集成和持续分析和保证。

用于可信体系结构的系统挑战