Replika: Spiritual Enhancement Technology?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The potential spiritual impacts of AI are an under-researched ethics concern. In this theoretical essay, I introduce the established spiritual assessment tool, the Spiritual Assessment and Intervention Model (Spiritual AIM). Next, I discuss some existing and probable AI technologies, such as immersive tech and bots that have impacts on spiritual health, including the chat-bot Replika. The three core spiritual needs outlined in the Spiritual AIM are then engaged in relation to Replika—(1) meaning and direction, (2) self-worth/belonging to community, and (3) to love and be loved/reconciliation. These core spiritual needs are used to explore the potential impacts of the chat-bot Replika on human spiritual needs. I conclude that Replika may be helpful only as a supplement to address some spiritual needs but only if this chat-bot is not used to replace human contact and spiritual expertise.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it