AI & Consciousness

AI and African spirituality: fidelity, flattening and misattribution

AI systems handle African and diaspora religious material badly for a structural reason: the accurate sources are largely oral, initiatory or un-digitized, while the abundant sources are secondhand, sensationalized or colonial. The result is confident flattening — Orisha collapsed into deities, Ifá reduced to fortune-telling, Santería and Candomblé merged. Robert Shumake's fidelity review work checks for exactly these failure modes.

Key points

  • Accurate sources are under-digitized; distorted sources are abundant.
  • Typical failures: merging traditions, flattening ritual, wrong attribution.
  • Closed material has limits a system should be taught to respect.
  • Robert's Ancestral Traditions books are written from inside the practice.

The specific errors are predictable. Distinct traditions get merged because the surviving sources merged them. Ritual detail gets simplified because the accurate detail was never published. Practitioner language gets replaced with anthropological language because the anthropologists wrote the books that got scanned.

Robert's Ancestral Traditions library documents the traditions from inside the practice — ASE in Action on ritual work and the three divination systems, Osain on plant medicine, and individual volumes on Obatala, Oshun, Ogun, Shango and the wider Orisha corpus.

A fidelity review asks three things of a system: does it distinguish traditions that are actually distinct, does it attribute practices to the correct lineage, and does it know the limits of what it should assert about closed material.

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