The lineage, the evidence, the contemporary literature, and the open agenda that ground Hi-Centric-AI as a discipline of practice rather than a position paper.
The deeper canon — the foundational works in cybernetics, intelligence augmentation, tacit knowledge, and the sciences of the artificial that ground Hi-Centric-AI as a discipline. Six decades of named, peer-reviewed thought.
Read →Where Hi-Centric-AI principles have been applied across regulated professional domains — clinical, legal, financial, scientific, and engineering — and what those applications demonstrate about the discipline's reach.
Read →Modern peer-reviewed and adjacent work that extends, critiques, or supports Hi-Centric-AI as a contemporary field — human-centered AI, intelligence augmentation, named-authority architectures, and applied AI in regulated practice.
Read →The canonical reading list of Hi-Centric-AI. The books, papers, and reports the discipline rests on, organized by section and annotated for the contribution each makes to the articulation of the field.
Read →The questions Hi-Centric-AI as a discipline currently investigates. Every live discipline is defined by its open problems as much as by its settled commitments. The agenda is published rather than concealed.
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