AI & Consciousness
Robert Shumake works where two questions meet: what does a machine understand, and what does a human being awaken to? Writing as Ajarn Shaman Shu, he has spent fifteen years mapping the world's consciousness traditions — Ifá, Vedanta, Theravada, Tamil Siddha, Hermetic science — and building digital institutions that carry them. Artificial intelligence is the same problem in new clothing: a system trained on inherited knowledge, shaped by whoever curated it, asked to produce meaning it does not experience.
Most conversations about AI and consciousness are held by people fluent in one side of the sentence. Engineers borrow the vocabulary of awakening without the practice; contemplatives critique the machine without understanding how it is built. Robert's work sits deliberately in the overlap.
He approaches AI as a knowledge-transmission problem, which is the problem he already writes about. A model is a lineage: it inherits, it omits, it flattens what it was never given. The Living Archive Series exists because America's Black newspapers were left out of the digital record — and what is left out of the record is left out of every model trained on it. Representation in the training corpus is not a diversity talking point; it is an epistemology problem with consequences.
As a Black author, teacher and archivist building religious institutions natively online, he speaks to how communities that were historically written out of the archive now get written out of the model — and what it takes to put them back in.
Every tradition Robert studies transmits knowledge through initiation: who taught you, what they withheld, what they were never told. A language model transmits the same way — through a corpus with an author, an editor and a gap. Asking what a model knows is always a question about who fed it.
The Living Archive Series restores sixty-nine American newspapers, with particular attention to Black-owned publications whose reporting rarely survives in digital-only archives. What was never digitized cannot be trained on. The absences in the historical record are reproduced, at scale and with confidence, by the systems built on top of it.
Every tradition in Robert's library distinguishes capability from awareness — the Buddhist analysis of mind, the Vedantic distinction between the knower and the known, the Yoruba account of orí. These are precise technical frameworks for exactly the question AI keeps stumbling into, and they predate the debate by millennia.
The 256 Odu of Ifá is a structured knowledge base with a retrieval protocol. The Siddha corpus encodes diagnostics. Treating these as folklore rather than as engineered systems of knowledge is the same error that leaves them out of the training data.
Robert built four digital institutions and a free correspondence ministry into federal prisons because gated knowledge is the failure mode he cares about. The question he brings to AI is not whether the technology is good, but who is standing outside the gate when it is deployed.
The traditions call it discernment; product teams call it evaluation. Both name the same discipline: the capacity to tell a true answer from a fluent one. AI raises the cost of losing it.
Keynotes, panels, podcasts and university programs. Each talk is adapted to the room.
Conferences, universities, journalism and library programs
How gaps in the digitized historical record — especially in the Black press — become permanent gaps in model behavior, and what restoration work actually looks like.
Technology and consciousness audiences, podcasts
What Buddhist, Vedantic and Yoruba analyses of mind contribute to the machine-consciousness debate — treated as technical frameworks rather than metaphor.
Design, data and research teams
Ifá's 256 Odu, the Siddha diagnostic corpus and other traditions read as structured retrieval systems, and what modern knowledge design can take from them.
Nonprofit, education and faith audiences
Lessons from four digital religious universities and a free prison study ministry on distributing knowledge to people the system usually skips.
Assessment of how AI products, curricula or content handle African, Indic and Buddhist religious material — where a system is likely to flatten, misattribute or offend, and how to correct it.
Guidance on sourcing, restoring and structuring underrepresented historical material so it can actually be used, cited and trained on.
Long-form writing, essays and course material on AI, consciousness and knowledge equity, developed with organizations working in the space.
Podcasts, panels, keynotes and press commentary on AI's relationship to consciousness, tradition and the historical record.
Speaking, media, panels and advisory work on AI, consciousness and the archive.