Transparency and granularity in the SP Theory of Intelligence and its
  realisation in the SP Computer Model
  This chapter describes how the SP System, meaning the SP Theory of
Intelligence, and its realisation as the SP Computer Model, may promote
transparency and granularity in AI, and some other areas of application. The
chapter describes how transparency in the workings and output of the SP
Computer Model may be achieved via three routes: 1) the program provides a very
full audit trail for such processes as recognition, reasoning, analysis of
language, and so on. There is also an explicit audit trail for the unsupervised
learning of new knowledge; 2) knowledge from the system is likely to be
granular and easy for people to understand; and 3) there are seven principles
for the organisation of knowledge which are central in the workings of the SP
System and also very familiar to people (eg chunking-with-codes, part-whole
hierarchies, and class-inclusion hierarchies), and that kind of familiarity in
the way knowledge is structured by the system, is likely to be important in the
interpretability, explainability, and transparency of that knowledge. Examples
from the SP Computer Model are shown throughout the chapter.
