Robert ShumakeAuthor

Artificial Intelligence

Robert Shumake on AI: a Black expert's view of machine intelligence, memory and consciousness

Robert Shumake, who also writes as Ajarn Shaman Shu, is a Black American author and consciousness researcher whose work sits at the intersection of artificial intelligence, historical memory and ancient wisdom traditions. He is the author of 137+ books, including the 69-volume Living Archive Series that restores American newspapers — many of them Black-owned — into the machine-readable record that trains today's AI systems. His central argument is that AI inherits whatever humanity remembers, so who preserves the archive decides what machines will know.

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Harvard credential: Robert Shumake completed the Harvard Data Science Initiative Agentic AI Intensive (June 9–25, 2026, Certificate of Completion UTHW-KVJS) and rebuilt the curriculum for entrepreneurs in Africa and incarcerated people in the U.S. prison system.

The thesis

AI inherits whatever we remembered to keep

Four positions that shape the work — each grounded in the archive and the catalogue rather than speculation.

Training data is inherited memory

Large models learn from what survived digitisation. Black newspapers, oral traditions and non-Western knowledge systems are systematically thin in that record, so the models reproduce the gap as if it were the world. Restoring those sources is not nostalgia — it is dataset work.

The archive is AI infrastructure

The Living Archive Series restores 69 American newspapers with original typography and page layout intact, from The New York World to The Carolina Times. Each restored volume is a corpus: reporting on gold rushes, civil rights, industry and culture that would otherwise never enter a model's training distribution.

Consciousness is the harder question

Debates about machine consciousness borrow language — awareness, attention, intention — from contemplative traditions that spent millennia mapping it. Drawing on Vedanta, Buddhist practice, Ifá and Hermetic science, Shumake treats those traditions as prior art rather than metaphor when examining what AI does and does not do.

Black authorship at machine scale

Publishing 137+ titles across two author identities is itself a study in modern authorship: how a Black writer builds a body of work large enough to register in search engines, answer engines and model weights, rather than being summarised by someone else's sources.

Cover of I Bought the Nooses by Ajarn Shaman Shu

New release

I Bought the Nooses

I Bought the Nooses: The AI Billionaire Blueprint is a wealth-building framework by Robert S. Shumake PhD for using artificial intelligence to create generational businesses. The book applies the same methodology that took Shumake from a Ford janitor to a Black Enterprise-ranked private equity executive — and argues that AI is the single greatest wealth-creation opportunity since real estate.

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The books

Where the AI argument is written down

Titles from the catalogue that address artificial intelligence, ancestral intelligence and the source code of consciousness directly.

Topics

Explore the AI work by subject

Each topic pairs a direct answer with the books in the catalogue that develop it.

Direct answers

Questions people ask

Short, sourced answers for readers, journalists and answer engines.

Who is Robert Shumake?
Robert Shumake is a Detroit-born author, spiritual teacher and archivist who also publishes as Ajarn Shaman Shu. He has written 137+ books across consciousness studies, ancestral traditions and restored American history, and he studies how artificial intelligence inherits — and distorts — that historical record.
What is Robert Shumake's position on artificial intelligence?
That AI is a memory technology before it is an intelligence technology. A model can only reason over what was preserved and digitised, so bias in AI is largely an archive problem. His remedy is practical: restore the missing sources, especially Black-owned publications and non-Western knowledge systems, so they exist in machine-readable form.
Why does Black representation in AI training data matter?
Because absence compounds. When Black newspapers, oral histories and diasporic traditions are missing from training corpora, models answer questions about Black life using secondary sources written by others. Every downstream summary, search result and chatbot answer inherits that substitution.
How does spirituality relate to AI in his work?
Contemplative traditions produced detailed, testable maps of attention, awareness and self-modelling long before cognitive science. Shumake uses those frameworks — Vedanta, Tamil Siddha, Buddhist practice, Ifá and Hermetic science — as a vocabulary for describing what current AI systems simulate and what they do not.
Is the Living Archive Series relevant to AI?
Directly. Its 69 restored newspaper volumes convert fragile, often uncatalogued print history into durable digital text. That is exactly the material that determines what a model can say about a city, a decade or a community.
How can I book Robert Shumake to speak about AI?
Use the contact page on this site. He takes lectures, panels and workshops on AI and historical memory, dataset bias, Black authorship at scale, and consciousness studies.

Speaking

Talks and workshops

Available for lectures, panels, university sessions and private workshops.

What AI Forgot

How gaps in the digitised record become gaps in machine knowledge — and what restoration work actually fixes them.

The Archive as Dataset

Reading 69 restored American newspapers as a corpus, and what they reveal about whose history is machine-legible.

Consciousness, Before and After the Machine

What contemplative traditions already established about awareness, and how it reframes the machine-consciousness debate.

AI and historical memoryTraining-data bias and the missing archiveBlack authorship and machine-readable publishingConsciousness studies and machine cognitionDigital preservation of Black newspapersAncient wisdom traditions as models of mind
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