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<p>[QUOTE=&quot;ewomack, post: 25722951, member: 15588&quot;]AI stands or falls on the data that it trains or &quot;learns&quot; on. If AI trains on bad data, it will produce bad results, no matter how good the learning engine. I work with some AI tools at my job and I&#039;ve seen both brilliant and terrible results. At this stage, there still needs to be someone there (i.e., a person) to distinguish the bad from the good that an AI tool outputs.</p><p><br /></p><p>Any coin grading AI tool needs to specify strict criteria for the data it will accept to train on. If the desired output is technical grading and the tool trains on a lump of data that includes examples of both technical and market grading, the results will likely come out very confusing. Some of the subjective nature of grading will likely get missed or &quot;filtered out&quot; over time as well, since some people might give a coin an MS 63 and others may give it an MS64. It all depends on what the engine learns on. It would probably be good to include data that includes two different grades for the same coin to account for some of this subjective variability, but it wouldn&#039;t likely ever please everyone all of the time. Human-based grading doesn&#039;t always please everyone all of the time, either.</p><p><br /></p><p>Regardless, I think it&#039;s worth looking into AI coin grading, but to also keep some skepticism (or cautious optimism) behind it until real results are seen, verified, and argued over. AI has done some amazing things for other fields (including mine), but it&#039;s far from perfect at this point and it&#039;s often very oversold. The first phase of AI coin grading would likely be producing results from an engine based on data that had solidly defined criteria, then having human coin graders judge the output. Then evaluate, change the learning engine or the data, and repeat. This may already be happening, but it&#039;s a necessary first step in deciding whether this will ultimately work out or not.[/QUOTE]</p><p><br /></p>

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