Comprehensibility

• ability of a learning algorithm to represent its learned knowledge in a human understandable fashion
• An understandable explanation must be created by a machine in a given time (e.g., one hour or one day) and can be comprehended by a user, who need not to be an expert, but has an educational background
• The user keeps asking a finite number of questions of the machine until he/she can no longer ask why or how because he/she has a satisfactory answer; we say he/she has comprehended.
• This is the relationship between cause and effect; it is not a synonym for causability