Workshop: Aligning AI and U.S. Advanced Manufacturing Competitiveness

人工智能与美国先进制造业竞争力对接研讨会将召集先进制造业研究和实践者社区、相关公司、联邦机构和国家实验室以及美国制造业研究所和人工智能(AI)和机器学习(ML)应用、信息技术和计算机科学方面的专家，全面评估人工智能在制造业竞争力中的作用。研讨会由国家科学技术委员会先进制造小组委员会和机器学习与人工智能小组委员会主办，抓住了全球制造业加速数字化转型、先进制造业和AI/ML的主要全球竞争力驱动力以及新冠肺炎大流行对制造业供应链的持续影响的汇聚效应所产生的机遇时刻。综上所述，需要：加快达成美国制造业将弹性制造作为优先事项的共识，解决制造业的数字化转型如何塑造和被这种转型塑造的问题，并在国家制造业优先事项的背景下，将全国的注意力集中在AI/ML技术上。研讨会将是一个由专业人员管理的虚拟电话会议，将强调与数字化相关的以下制造业优先事项：制造业生态系统和供应链重组、连接性、可见性、互操作性和敏捷性，以应对全球和国家的中断；作为弹性制造生态系统的关键资产，先进工艺和机器操作的更高性能和精度；安全健康、技能广泛、精通数据的劳动力，可以更灵活地部署；以及行业数据流和交换、网络机会以及国家网络和数据安全。研讨会将就人工智能在提高美国制造业竞争力以及促进先进制造业和AI/ML研究社区在制定涵盖劳动力、技术和实施的国家战略方面的合作达成跨利益攸关方的共识。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The Workshop on Aligning AI and U.S. Advanced Manufacturing Competitiveness will convene the advanced manufacturing research and practitioner communities, relevant companies, federal agencies and national laboratories and the Manufacturing USA Institutes and experts in artificial intelligence (AI) and machine learning (ML) applications, information technology, and computer science to comprehensively assess the role of AI in manufacturing competitiveness. The workshop, held under the auspices of the Subcommittee on Advanced Manufacturing and the Subcommittee on Machine Learning and Artificial Intelligence of the National Science and Technology Council, seizes on a moment of opportunity that results from the converging effects of the accelerating digital transformation of the global manufacturing industry, major global competitiveness drivers for both advanced manufacturing and AI/ML, and the sustained impacts of the COVID-19 pandemic on manufacturing supply chains. When taken together, there emerges a need to: accelerate a U.S. manufacturing consensus on resilient manufacturing as a priority, address how the digital transformation of manufacturing shapes and is shaped by that transformation, and focus national attention on AI/ML technologies in the context of the nation’s manufacturing priorities. The workshop will be a professionally-managed, virtual teleconference that will emphasize the following manufacturing priorities related to digitalization: manufacturing ecosystem and supply chain restructuring, connectedness, visibility, interoperability, and agility in preparing for and responding to global and national disruptions; greater performance and precision in advanced process and machine operations as key assets in resilient manufacturing ecosystems; a safe and healthy, broadly-skilled, and data-savvy workforce that can be more flexibly deployed; and industry data flow and exchange, cyber opportunity, and national cyber and data security. The workshop will generate a cross-stakeholder consensus on what roles AI has and can have in improving U.S. manufacturing competitiveness and promoting collaboration by the advanced manufacturing and AI/ML research communities in formulating a national strategy that encompasses the workforce, technology and implementation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.