As an example, using this calibrated uncertainty, if just one queries the model for predicted outcomes of different cancer treatment plans for the affected individual from a minority team that is underrepresented from the dataset, GenSQL would notify the consumer that it's unsure, And just how uncertain it can be, as opposed to overconfidently advocating for the incorrect cure.
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To reconcile these combined conclusions, Lu and his co-authors done a meta-Investigation of 163 prior studies that compared individuals’s Tastes for AI as opposed to individuals. The researchers examined whether the facts supported their proposed “Ability–Personalization Framework” — the concept that in a very offered context, both equally the perceived capability of AI plus the perceived necessity for personalization condition our preferences for possibly AI or individuals.
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