Quote:
Originally Posted by Rick-Rarecards
You missed it even in this thread. The short answer is:
There could be a whole sea of issues. I think of three questions AI/ML could help with
1) Detect if a card is real or fake
2) Classify the card (type, year, etc)
3) Classify the grade
In all of these cases, I can assure you people want to know why the algorithm gave the grade/class/ etc, e.g. explain how the algorithm got the result. This requires explainable AI, which is beyond what algorithms can do today. Furthermore, all of this requires a large training set (you need a lot of examples) including fake examples! Who has that many training examples sitting around?
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I may be misunderstanding you and if so sorry, but is your opinion then that the technology in fact works for 1-3 but the issue is that the result can't be easily explained? Or does that mean as a practical matter it doesn't work?