NDT 4.0 is a vision for the next generation of nondestructive inspection systems following the expected fourth industrial revolution based on connected cyber-physical systems. While an increasing use of automation and algorithms in nondestructive testing (NDT) is expected over time, NDT inspectors will still play a critical role in ensuring NDT 4.0 reliability. As a counterpoint to recent advances in artificial intelligence algorithms, intelligence augmentation (IA) refers to the effective use of information technology to enhance human intelligence. While attempting to replicate the human mind has encountered many obstacles, IA has a much longer history of practical success. This paper introduces a series of best practices for NDT IA to support NDT 4.0 initiatives. Algorithms clearly have a great potential to help alleviate the burden of “big data” in NDT; however, it is important that inspectors are involved in necessary secondary indication review and the detection of rare event indications not addressed well by typical algorithms. Examples of transitioning algorithms for NDT applications will be presented, emphasizing the successful interfacing of inspector and software for optimal data review and decision making.
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