Skip to Main Content
Skip Nav Destination

At the moment a distinction between a human expert and an in silico is that a human is allowed and able to produce the answer “I don't know”. We think that during the design of an artificial intelligence (AI) system one ought to consider adding “I don't know” as an AI answer. We argue that an introduction of such an answer may make AI systems on average more accurate and therefore more trustworthy. We submit the case with predictive models. A procedure to define “I don't know” in binary classifiers, called all leave-one-out models (ALOOM), is presented and examined. We use a simulation to show how this may benefit a drug discovery process. We refer to the research field which defines “I don't know” as the non-applicability domain.

You do not currently have access to this chapter, but see below options to check access via your institution or sign in to purchase.
Don't already have an account? Register
Close Modal

or Create an Account

Close Modal
Close Modal