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

该项目的核心是创建和验证一个创新的数字框架，以促进一个道德的制造生态系统，其中机器道德，包括合法性，诚信和问责制，在整个产品设计-制造-服务生命周期中都是强制性的。在工业4.0时代，制造系统通过先进技术和互连性得到增强。虽然这种演变大大扩展了制造机械的功能和可访问性，但它也在制造监管中引入了前所未有的道德挑战，例如恶意使用可定制的制造（例如，假冒商品和3D打印武器）。该项目开创了对道德工业4.0的探索，并将合法性、诚信和问责制原则作为数字制造生态系统的基本组成部分。具体而言，该团队设计并实施了一套计算方法和数字化工具，以提供从设计到制造再到服务的设计-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整合和验证。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中纳入道德和法规遵从性促进。此外，该项目还将对未来制造业劳动力的教育做出重大贡献，提高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好处。本研究项目探讨了作为新功能组件的道德原则，并构建了一个数字框架，以解决道德工业4.0的技术障碍，包括知识产权（IP）保护，数据安全和隐私、监管和合规性。该团队调查并开发了一个道德网络层，结合了一套计算算法，架构和软件，以增强数字制造系统的合法性，完整性和问责制。该项目的技术重点有三个方面：（1）一种高效、稳健的道德设计检查机制，使用非线性匹配算法对导入制造机器的复杂3D数字模型进行检查，以避免IP盗窃和恶意设计;（2）通过安全计算为制造机器提供道德制造监控工具，这些工具具有高隐私需求、有限的注释样本和多样化的操作条件;以及（3）道德产品跟踪，以分析产品纹理指纹，并辅助对非法和非完整性使用的源机器识别的取证。经过验证的资源和工具，包括先进的模型，算法，软件和测试台架，以及教育材料，将公开提供。该奖项反映了NSF的法定使命，并已被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

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.