This workshop Report Out focuses on the foundational elements of trustworthy AI and OR technology, and how to ensure all AI and OR systems implement these elements in their system designs. Four sessions on various topics within Trustworthy AI were held, these being Fairness, Explainable AI/Causality, Robustness/Privacy, and Human Alignment and Human-Computer Interaction. Following discussions of each of these topics, workshop participants also brainstormed challenge problems which require the collaboration of AI and OR researchers and will result in the integration of basic techniques from both fields to eventually benefit societal needs.

翻译：本工作坊报告重点关注可信人工智能与运筹学技术的基础要素，以及如何确保所有AI与OR系统在其系统设计中贯彻这些要素。围绕可信AI的四个专题开展了研讨，包括公平性、可解释AI/因果性、鲁棒性/隐私性、人机对齐与人机交互。在完成各专题研讨后，与会者还共同探讨了需要AI与OR研究者协作解决的挑战性问题，这些问题将促成两个领域基础技术的融合，最终惠及社会需求。