Ethical Industry 4.0: Embedding Legality, Integrity and Accountability in Digital Manufacturing Ecosystems

该项目以创新数字框架的创建和验证为中心，以促进道德制造生态系统，在整个产品设计-制造-服务生命周期中强制要求机器道德，包括合法性，完整性和问责制。在工业4.0时代，制造系统通过先进技术和互联性得到增强。虽然这种演变显着扩展了制造机械的功能和可访问性，但它也在制造法规中引入了前所未有的道德挑战，例如恶意使用可定制制造（例如，假冒商品和3D打印武器）。该项目是探索工业4.0道德的先驱，并将合法性、诚信和问责原则作为数字制造生态系统的基本组成部分。具体来说，该团队设计并实施了一套计算方法和数字工具，以提供从设计、制造到服务的设计-制造-服务生命周期的每个阶段的道德保证。通过利用现有的研究平台和当地的制造合作伙伴，道德框架可以在现实世界的制造测试平台中进行集成和验证。该项目具有多方面的教育和社会影响。该项目可能需要在工业4.0中包含道德和法规遵从性促进。此外，该项目还为未来制造业劳动力的教育做出了重大贡献，提高了公众对制造业道德的认识，并为美国制造业和整个社会带来了利益。该研究项目将道德原则作为新的功能组件进行探索，并构建了一个数字框架，以解决道德工业4.0中的技术障碍，包括知识产权（IP）保护、数据安全和隐私、监管和合规。该团队研究并开发了一个道德网络层，包括一套计算算法、架构和软件，以增强数字制造系统的合法性、完整性和问责性。本项目的技术重点有三个方面：(1)利用非线性匹配算法为导入制造机器的复杂3D数字模型提供高效、稳健的道德设计检查机制，以避免知识产权盗窃和恶意设计；(2)基于高隐私要求、有限标注样本和多样化操作条件的安全计算的制造机器伦理制造监控工具；(3)伦理产品跟踪，分析产品纹理指纹，协助非法、不完整使用的源机识别取证。经过验证的资源和工具，包括先进的模型、算法、软件和测试平台，以及教育材料，将是公开可用的。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project is centered around the creation and validation of an innovative digital framework to foster an ethical manufacturing ecosystem where machine ethics, including legality, integrity, and accountability, is mandated throughout the product design-fabrication-service life cycle. In the era of Industry 4.0, manufacturing systems are enhanced with advanced technologies and interconnectivity. While this evolution significantly expands the functionalities and accessibility of manufacturing machinery, it also introduces unprecedented ethical challenges in manufacturing regulation, such as malicious use of customizable fabrication (e.g., counterfeit goods and 3D printed weapons). This project pioneers the exploration of ethical Industry 4.0 and anchors principles of legality, integrity, and accountability as fundamental components in the digital manufacturing ecosystem. Specifically, the team designs and implements a set of computational methods and digital tools to provide ethical assurances spanning each stage of the design-fabrication-service life cycle from design, to fabrication, to service. By leveraging existing research platforms and local manufacturing partners, the ethical framework can be integrated and validated within real-world manufacturing testbeds. This project has multi-dimensional educational and societal impacts. The project can necessitate the inclusion of ethics and regulation compliance promotion within Industry 4.0. Moreover, the project also contributes significantly to the education of the future manufacturing workforce, promotes public awareness of manufacturing ethics, and brings benefits to the US manufacturing sector and general society.This research project explores principles of ethics as new functional components and constructs a digital framework that tackles technical obstacles in ethical Industry 4.0, including intellectual property (IP) protection, data security and privacy, regulation, and compliance. The team investigates and develops an ethical cyber layer, incorporating a set of computational algorithms, architecture, and software, to enhance the legality, integrity, and accountability of the digital manufacturing system. The technical thrusts in this project are threefold: (1) an efficient and robust ethical design checking mechanism using nonlinear matching algorithms for complex 3D digital models imported to manufacturing machines to avoid IP theft and malicious design; (2) ethical fabrication monitoring tools for manufacturing machines via secure computation with high privacy needs, limited annotated samples, and diverse operation conditions; and (3) ethical product tracking to analyze product texture fingerprint and assist the forensics of source machine identification with illegal and non-integrity usage. The validated resources and tools, including advanced models, algorithms, software and test benches, and educational materials, will be publicly available.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.