Stage-gate process is a project management technique that has been used to manage major technology development and deployment projects for over 50 years. It emphasizes quality, risk, and value, and provides an orderly framework for decision making with multiple projects carried out concurrently. This paper will examine the potential application of this process to NDE 4.0 developments. This paper will also explore the factors that make a stage-gate process successful, and how biases affect the outcomes of gate reviews. It explores which biases are problematic and how we can de-bias our own interpretation of them through conscious awareness and re-thinking the Stage-Gate Process. It also discusses how to create an environment where biases are minimized or eliminated. During research and reporting of this manuscript, the human authors synthesized their decades of experience in engaging with technology development decisions, with contributions from an artificial intelligence agent GPT-3 on human biases and motivations. This was done to capture the firsthand experience of collaborating with AI in the spirit of increasing the role of machine intelligence in human–machine systems, typical of NDE. Since this appeared to be an innovative approach, the authors decided to use the gated process in creating this paper with AI as a co-author. The details are presented as a case study within the paper. The topic is important because, managers are struggling to embrace the NDE 4.0 initiative, despite its importance and their willingness. Leveraging AI partnership to even address this important topic is a testament to cognitive capability of learning machines to help inspection systems with creating test procedures, making decisions, and creating test reports. This manuscript is the first attempt at qualitative treatment of human factors in gated innovation process with research assisted by an Artificial Intelligence based language model (non-human). The first paragraph of the abstract above is completely AI generated.

Stage-Gate 流程是一种项目管理技术，50 多年来一直用于管理重大技术开发和部署项目。它强调质量、风险和价值，并为同时进行的多个项目的决策提供了一个有序的框架。本文将研究此过程在 NDE 4.0 开发中的潜在应用。本文还将探讨使阶段关卡流程成功的因素，以及偏见如何影响关卡审查的结果。它探讨了哪些偏见是有问题的，以及我们如何通过有意识的意识和重新思考阶段门过程来消除我们对它们的解释的偏见。它还讨论了如何创建一个最小化或消除偏见的环境。在研究和报告这份手稿期间，人类作者综合了他们数十年参与技术开发决策的经验，以及人工智能代理 GPT-3 对人类偏见和动机的贡献。这样做是为了获得与人工智能合作的第一手经验，本着增加机器智能在人机系统中的作用的精神，典型的 NDE。由于这似乎是一种创新方法，因此作者决定使用门控过程与 AI 作为合著者一起创建这篇论文。详细信息在论文中作为案例研究呈现。这个话题很重要，因为经理们正在努力接受 NDE 4.0 计划，尽管它很重要并且他们愿意。利用 AI 合作伙伴关系甚至解决这一重要主题证明了学习机器的认知能力，可以帮助检查系统创建测试程序、做出决策和创建测试报告。这份手稿是在基于人工智能的语言模型（非人类）的辅助下进行研究，首次尝试在门控创新过程中对人为因素进行定性处理。上面摘要的第一段完全是AI生成的。