Decisions and actions of all kinds by humans and AI systems ultimately reduce to knowledge in use. The safety and effectiveness of actions, in particular, therefore depend upon the quality of knowledge used to inform and guide them. And whereas the use of knowledge occurs at the level of action or business processing, the production of knowledge as a precursor to action takes place in a separate process called knowledge processing.
Not all knowledge processes, however, are alike, much less effective in terms of the truth, legitimacy, or desirability of the knowledge they produce. Indeed, two AI systems endowed with different epistemologies can very well produce different answers to the same questions, any of which might be true, false, or otherwise. Choosing the best framework for use at the level of knowledge processing therefore matters greatly!
A third level of interest is the knowledge management level, the level at which management strategies and interventions aimed at improving knowledge processing are developed and carried out. Knowledge management is knowledge process management!
The Susty Code, then, is a blueprint for high-performance knowledge processing, devised at the level of knowledge management with the safety and effectiveness of human and AI actions in mind. The epistemology it relies on is called Critical Rationalism, and the form it takes consists of rules that specify criteria for rigorous knowledge production in human and AI systems. No other approach to knowledge processing in AI does this, and yet it must be done if AI is to be safe, effective, and dependable in the long run.
