High-confidence approach for artificial intelligence-based models

They call it artificial intelligence--not because the intelligence is somehow fake. It's real intelligence, but it's still made by humans. That means AI--a power tool that can add speed, efficiency, insight and accuracy to a researcher's work--has many limitations. It's only as good as the methods and data it has been given. On its own, it doesn't know if information is missing, how much weight to give differing kinds of information or whether the data it draws on is incorrect or corrupted.