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Human Factors in NDE 4.0 Development Decisions

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Abstract

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.

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Acknowledgements

Authors acknowledge the willingness of OpenAI to provide access to the GPT-3 Beta version. They are also grateful to Dr. Johannes Vrana of Vrana GmBH and Dr. Anukram Mishra of Genus Power Infrastructures for their continued support of this collaboration.

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Authors and Affiliations

  1. Chief Innovation and Strategy, Inspiring Next, Cromwell, CT, 06416, USA

    Ripi Singh

  2. Genus Power Infrastructures Limited, Jaipur, India

    Vaibhav Garg

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  1. Ripi Singh
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  2. Vaibhav Garg
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Correspondence to Ripi Singh.

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Singh, R., Garg, V. & GPT-3. Human Factors in NDE 4.0 Development Decisions. J Nondestruct Eval 40, 71 (2021). https://doi.org/10.1007/s10921-021-00808-3

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