论文标题
系统挑战值得信赖的体现系统
Systems Challenges for Trustworthy Embodied Systems
论文作者
论文摘要
即将开发新一代的新一代自主和自学体现的体现系统。当将具体系统部署到现实生活中时，我们面临各种工程挑战，因为以有益的方式协调体现系统的行为至关重要，确保它们与我们以人类为中心的社会价值观的兼容性，并设计出可靠安全可靠的人类机器机器互动。我们认为，传统的系统工程将从嵌入到具体的系统中进入高潮，并确保情境意识，意图驱动，探索性，不断发展的，不可预测的不可预测，以及越来越多的自动体现系统的动态联合会的信任度，并且在无与伦比的复杂，复杂，复杂的，不明显的现实和不完善的现实环境中。因此，我们正在确定许多紧急系统对可信赖的体现系统的挑战，包括健壮和以人为中心的AI，认知架构，不确定性量化，可信赖的自我整合以及持续的分析和保证。
A new generation of increasingly autonomous and self-learning embodied systems is about to be developed. When deploying embodied 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 traditional 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 therefore 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.
