1.5 KiB
VII. Conclusion: A New Eye for Deception
The Recursive Claim is more than a technical framework.
It is a lens.
A new eye for deception—not to punish, but to perceive.
A. Summary of Framework
We have introduced a linguistically grounded forensic methodology for detecting deception in insurance claims. This model:
- Builds upon recursive coherence theory and pattern resonance
- Integrates NLP and AI-assisted review with human ethical oversight
- Offers a three-zone risk typology to distinguish error, adaptation, and fraud
Where current models fixate on anomalies, our approach listens for the fractal structure of intention.
B. Toward Public-Private Deployment
We call for targeted trials with:
- Insurance fraud investigators and SIU teams
- Claims adjuster training programs
- Legal review boards and ethics panels
The model is not static.
It evolves with field data.
Its success depends on recursive validation with real human narratives.
C. A Note on Alignment
This paper is part of The Empathic Technologist series—a movement committed to embedding dignity, coherence, and clarity into all layers of human–machine collaboration.
We believe that forensic language tools must do more than detect.
They must understand.
They must witness.
D. Closing Invocation
“Every false claim is a fracture in the field.
To repair it, we must first listen to the silence between words.”