Semantic consistency of explanations in explainable artificial intelligence applications

A computer-implemented method, the method comprising:

• in response to a submission of an input dataset to an artificially intelligent application, receiving an explanation from each module of the application,
• wherein the modules are configured within the application in a serial sequence in which each module, upon receiving the input dataset and any input generated by an immediately preceding module of the serial sequence, generates output that is forwarded as input to a next module, if any, in the sequence;
• and
• determining that at least two of the received explanations are semantically inconsistent.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being executable by a processor to cause the processor to perform a method comprising:

• receiving, by the processor, an explanation from each module of an artificially intelligent application, the explanations being created by the modules in response to a submission of an input dataset to the application,
• wherein the modules are configured within the application in a serial sequence in which each module, upon receiving the input dataset and any input generated by an immediately preceding module of the serial sequence, generates output that is forwarded as input to a next module, if any, in the sequence;
• and
• determining, by the processor, that at least two of the received explanations are semantically inconsistent.