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"But if we started to take diagnostics that had higher dimensions and resolution, and just trained blackbox AI on that data, it probably stands to reason that..
by mcguire 5y ago
"But if we started to take diagnostics that had higher dimensions and resolution, and just trained blackbox AI on that data, it probably stands to reason that..."
...that we would have no way to evaluate the systems' accuracy because no other non-statistical system can understand the input data?
The Oracle at Delphi is always correct. Even when the Oracle is wrong, the Oracle is correct.
"...just fencing off the highways and inventing an autonomous system of vehicles that doesn't have this much tougher constraint...
Kind of expensive to build a second interstate highway system, though.
- nickysielicki 5y ago> we would have no way to evaluate the systems' accuracy because no other non-statistical system can understand the input data No, we can always evaluate the accuracy based on our current human-understandable images and scans and biopsies.
- bluGill 5y agoWe can evaluate over time. If the system repeatedly predicts people you will get lung cancer in 10 years based on scans, and in 10 years we finally detect that cancer that says there must be something even if we don't know what. Finding that what then becomes important (along with figuring out how to treat lung cancer 10 years before we can currently detect it) Of course this is all assuming there is something there. It might be there is nothing to find. I wouldn't be surprised either way.