About · Affiliations

Affiliated Thinkers and Traditions

A discipline that conceals its intellectual neighbors is not a discipline; it is a brand. What follows is the working map of traditions Hi-Centric-AI inherits from, holds dialogue with, and disagrees productively against.


Six traditions

Inheritance, dialogue, and productive disagreement.

  1. Inheritance

    Cybernetics and intelligence augmentation

    The originating tradition. Wiener, Licklider, Engelbart. Hi-Centric-AI carries the framing forward without departure — computation as the augmentation of human intellect, intelligence as a coupled system of human and machine, design as the architecture of that coupling.

  2. Inheritance

    Tacit knowledge and the philosophy of expertise

    Polanyi's account of tacit knowledge held by named experts grounds the Hi-Centric-AI commitment to named human authority. The expertise that artificial intelligence systems should be architected around is irreducibly held by named practitioners; this is a philosophical claim with serious consequences for how the discipline is built.

  3. Inheritance

    Sciences of the artificial and design theory

    Simon's framing of designed systems as architectural objects — and bounded rationality as the cognitive principle — directly informs how Hi-Centric-AI treats artificial intelligence systems as objects of architectural analysis rather than as performance benchmarks.

  4. Adjacency and dialogue

    Human-Centered AI (Stanford HAI, Shneiderman, HCAI)

    The contemporary academic and institutional research program with which Hi-Centric-AI shares philosophical orientation. Hi-Centric-AI is more architecturally specific and more committed to operational applied practice than the broader HCAI literature; the relation is one of productive specification, not opposition.

  5. Adjacency

    Distributed cognition and situated action

    Hutchins's and Suchman's work on cognition as a distributed, situated practice provides empirical grounding for the Hi-Centric-AI account of how human and artificial cognition jointly do professional work. The discipline draws on this tradition without subsuming it.

  6. Productive disagreement

    Autonomy-maximalist AI research

    The frontier-model research program is responsible for most public AI development. Hi-Centric-AI takes no oppositional stance toward it as a research program but disagrees about the appropriate framing for AI deployment in regulated professional practice. The two disciplines are addressed to different problems.


On the practice layer

Production frameworks are documented separately.

Hi-Centric-AI is articulated here as a discipline. The specific systems through which the founders practice the discipline — and the production frameworks through which those systems are operated — are documented at The Practice. The discipline is foundational; the production frameworks are downstream of it.