探讨具身智能在真实场景中的安全与信任问题，强调系统化工程治理的必要性。
Embodied AI in Action: Insights from SAE World Congress 2026 on Safety, Trust, Robotics, and Real-World Deployment
- 将具身AI视为需全生命周期治理的系统工程问题。
- 强调安全与可信部署比单纯提升算法能力更关键。
- 适合政策制定者、技术领导者及行业管理者阅读。
具身人工智能正快速从研究走向自动驾驶、移动机器人和工业设备等真实应用。随着这些系统在动态环境中感知、决策与行动能力增强，安全、信任、治理和运行可靠性面临新挑战。本文总结了2026年SAE世界大会‘具身智能落地’专题研讨的核心观点，汇聚汽车、机器人、人工智能与安全工程领域的专家。会议一致认为，具身AI应作为系统性工程问题，需工程严谨性、全周期治理、以人为本设计及持续演进的标准支持。报告为高管、政策制定者和技术领导者提供负责任采用具身AI的实践视角。共识是：长期成功不仅依赖于AI能力进步，更取决于安全可靠的部署。
原文摘要 · Abstract (English)
Embodied artificial intelligence is rapidly moving from research into real-world systems such as autonomous vehicles, mobile robots, and industrial machines. As these systems become more capable of perceiving, deciding, and acting in dynamic environments, they also introduce new challenges in safety, trust, governance, and operational reliability. This white paper summarizes key insights from the SAE World Congress 2026 panel session \textit{Embodied AI in Action}, which brought together experts from automotive, robotics, artificial intelligence, and safety engineering. The discussion highlighted the need to treat embodied AI as a systems challenge requiring engineering rigor, lifecycle governance, human-centered design, and evolving standards. The paper provides practical perspectives for executives, policymakers, and technical leaders seeking to adopt embodied AI responsibly. The panel reached broad agreement that long-term success will depend not only on advances in AI capability, but equally on safe and trustworthy deployment.
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