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past or current auction describers
Are one flavor of "stamp dealer," like it or not.
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An AI system to spot forgeries would have to be taught by an expert, and of course be updated when new forgeries turn up. Do we have competent experts willing to train an AI system?
Of course when AI IDs all of the forgeries what is left in a group of stamps ARE NOT GENUINE stamps, BUT POSSIBLY GENUINE stamps.
For example take US 1203 and 1204. Will AI be trained to find original yellow inverts of 1203 and separate them from the purposefully yellow inverted reprints, Scott 1204? Currently there are no experts who can do so.
Merely identifying all currently known and verified yellow inverted 1203 stamps and covers does not produce the ability to find other genuine but not identified 1203 yellow inverts.
As they were different press runs and thus different press inking occasions, a full spectroscopy analysis of all existing known 1203 with yellow inverted against a large sample of known 1204 stamps
may find a difference. But first the yellow inverted 1203 would need to be compared with normal 1203 specimens to see that the ink was consistent within the original 1203 runs. The "known" 1204 would likely need to be taken from a not yet opened post office pad of the issue to verify they are in fact the 1204 with out possible genuine 1203 yellow invert.
Now who will undertake the cost to get this data in a clean form to feed into the machine learning and at what price will it be? Will it be offset by finding valuable new 1203 inverted yellow example and with each find won't the "valuable" index decrease? I think not. But of course AI could be trained to check the paper type, gun type and amount of wear on the perf pins used to perforate.
Here a question I would like to see discussed in this topic, if AI can be trained to find genuine stamps (not speaking to just 1203/1204) will it be able to learn how to produce reproductions which can pass for genuine examples? If so, then that would be great, everyone could fill all the spaces in their album, right?