True Technological Understanding (TTU) is a framework for designing technological systems that preserve uncertainty, evaluate context, manage plurality, and remain accountable to consequence through structured governance. TTU develops from the conceptual foundations established within the Conceptual Model of Understanding (CMU) and the structural relations described within the True Understanding Invariant Structural Framework (TU-ISF). Its purpose is not to replace existing approaches to artificial intelligence, decision-support systems, or computational modelling. Rather, it explores how technological systems might be designed when understanding, uncertainty, context, and consequence are treated as central considerations rather than secondary concerns. Many contemporary systems are optimised for prediction, classification, recommendation, or answer generation. TTU does not reject these capabilities. Instead, it asks whether technological systems may benefit from additional structures that preserve uncertainty where commitment cannot yet be justified, support contextual evaluation, manage plurality where appropriate, and remain accountable to consequence through structured governance. TTU should be understood as a framework for technological design rather than a specific product, model, implementation, or operational system. This document introduces its purpose, scope, limitations, and foundational orientation. More specialised architectural, governance, and implementation discussions are developed through companion papers, demonstration work, and future research.
Luke Andrew Hancock (Tue,) studied this question.
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