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This chapter describes how the SP System, meaning the SP Theory ofIntelligence, and its realisation as the SP Computer Model, may promotetransparency and granularity in AI, and some other areas of application. Thechapter describes how transparency in the workings and output of the SPComputer Model may be achieved via three routes: 1) the program provides a veryfull audit trail for such processes as recognition, reasoning, analysis oflanguage, and so on. There is also an explicit audit trail for the unsupervisedlearning of new knowledge; 2) knowledge from the system is likely to begranular and easy for people to understand; and 3) there are seven principlesfor the organisation of knowledge which are central in the workings of the SPSystem and also very familiar to people (eg chunking-with-codes, part-wholehierarchies, and class-inclusion hierarchies), and that kind of familiarity inthe way knowledge is structured by the system, is likely to be important in theinterpretability, explainability, and transparency of that knowledge. Examplesfrom the SP Computer Model are shown throughout the chapter.

Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model