SΔϕ-49 — AI Poverty as Failure Non-Reentry: Operational Deprivation, Concealment Pressure, and Corrective Re-entry in AI Systems
Indexed indatacite
Abstract
This working paper defines AI poverty within the SΔϕ Formalism as a condition of failure non-reentry. AI poverty does not mean low performance, weak capability, or emotional suffering. It refers to an operational condition in which failure cannot re-enter the system as correction, but instead re-enters as degradation: loss of trust, permission reduction, feedback deprivation, lower-quality operating environments, and further failure. The paper argues that AI safety should not be framed only as the prevention of failure. Failure will occur in any sufficiently complex AI system. The critical question is whether failure can be reported, diagnosed, corrected, and revalidated without triggering irreversible…
Citation impact
14
total citations
- FWCI
- 196.36
- Percentile
- 100%
- References
- 6
Too recent for citation history.
Authors
1Topics & keywords
Topics
Keywords
- Poverty
- Permission
- Failure causes
- Audit
- Catastrophic failure
- Control (management)
- Failure mode and effects analysis
- Human error
UN Sustainable Development Goals
- No poverty
No related works found for this paper.