Lennart Schulenburg: What experience does PFW have with automation in X-ray inspection? Until then, it is first necessary to demonstrate the performance of the algorithms. Of course, for one or the other the goal is to have an autonomous AI system that reliably makes such decisions itself and can fully relieve the staff of the decisions. Important, safety-critical questions first must be answered by trained auditors. There will likely be a long phase in which AI is used as an assistance system. Markus Gutensohn: For now yes, because we have to learn to deal with these systems – see and understand how reliably something like AI works. Lennart Schulenburg: So, for you, AI is more of an assistance system, which supports the user in making faster and better decisions? Finding small, fine pores on a monitor for six to eight hours a day may be ambitious, but it is undoubtedly a burden. Therefore, some time ago, as part of a funded program, PFW began to investigate whether digital and automated X-rays as a supporting evaluation could relieve our staff of strenuous activities. We expect significant added value if data -driven decisions can be made by an algorithm. Now we can see that our quality assurance staff can really use the whole data from an increasingly digitized environment. Markus Gutensohn: Today PFW has a very large amount of testing efforts.
Lennart Schulenburg: Why does PFW want to use AI in quality assurance and what advantage or added value do you expect from it? Historically grown structures have proven themselves in many ways and there are new ways that are likely to prove to be better. Employees have to be taken along old processes have to be changed. And trust will grow, but this has to build up over the near future. We now use specially educated and trained staff for this, and now we should all such safety-related tasks hand over to an algorithm? It is a possible scenario, but it is currently a giant step and those who are not ready for it should prepare. If you imagine that safety, or the understanding of safety, is suddenly placed in the hands of an algorithm, that is a big step. Lennart Schulenburg: Do you see the qualification and standardization of AI as the big challenge? Even if the AI technology is available in a timely manner, acceptance and qualification are major challenges that we and the entire aviation industry face. These quality assurance systems were established to ensure safe aviation.
There are many established structures in the aviation industry, some of which are decades old. Markus Gutensohn: On the part of PFW, we have not yet seen any real AI application within our daily inspection routine.
Lennart Schulenburg: How do you see the current state of AI in everyday life and regarding the work in the field of quality?
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