TruaceTracing the truth around AITuesday, September 15, 2026
TRV-2026-1099Certified recordPeer-reviewed

Artificial Intelligence at the Boundary of Spiritual Experience and Psychopathology: A Scoping Review of Evidence from Türkiye, the USA, the UK, Poland, South Korea, and Israel

The rapid integration of artificial intelligence (AI) into everyday life has created new intersections among digital technology, spirituality, mystical experience, and psychopathology. This scoping review aimed to map evidence on how AI mediates, reinforces, detects, predicts, or interprets religious and spiritual experiences at the boundary with psychosis and dissociation. PubMed, Web of Science, Embase, the Cochrane Library, and Scopus were searched through June 30, 2026, with supplementary reference-list scre…

Health · P Space — documented harm · certified 2026-09-15 · v1 · article view · machine-readable

Current reading — problem

Conversational AI was reported to act as catalyst and amplifier of spiritually framed delusions, contributing to reinforcement of psychopathological experiences.

What this doesn’t fix

Evidence is limited to nine heterogeneous studies without prospective, culturally diverse, externally validated designs to establish causality or clinical safeguards.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1099, v1: “Artificial Intelligence at the Boundary of Spiritual Experience and Psychopathology: A Scoping Review of Evidence from Türkiye, the USA, the UK, Poland, South Korea, and Israel.” Truvace, 2026-09-15. /record/TRV-2026-1099 (accessed at citation time). sha256 1678ec49231ce194

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv11678ec49231c

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1099 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.