Overview
Introduces a non-interventional framework for tracing predictive information through neural networks and translating internal representations into human-centered evidence.
Research context
This work contributes to Interpretability. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.
BibTeX
@article{LinearLens2026,
title = {Linear Lens: A Human-Centered, Non-Interventional Mechanistic Approach to Explainable AI},
author = {M. U. Danish, M. Aziz, U. Rehman,, K. Grolinger},
year = {2026},
journal = {Machine Learning with Applications},
doi = {10.1016/j.mlwa.2026.100897}
}