In an era defined by the digitization of measurement processes and the increasing use of artificial intelligence, do you believe that focusing on the digitization of high-precision measurements through AI approach applications is advantageous? For instance, imagine an AI interpreter for analog instruments using optical vision.
This question arises considering the questionable reliability inherent in AI, based on probabilistic algorithms that can generate precise but not necessarily infallible measurements. Additionally, there is complexity in evaluating uncertainty in automatic measurements, considering environmental factors such as lighting and the quality of the optical viewer that could affect the reliability of results. How can we balance the promise of AI precision with the need for absolute reliability in high-precision metrology, especially concerning traceability to primary standards?"
This seems like the last place to use unverified AI conclusions. Here we need conventional, provable fact and derivation, not a cauldron of probabilistic beliefs and correlations.
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