PreprintCC BY 4.0Zenodo
The Black-Box Trap: What Building Real-Time NLP and Cloud Pipelines Taught Me About Explainable AI
- 1University of East London
Abstract
Architectural conceptualization and comparative analysis of real-time NLP inference, token-level interpretability (LIME), and asynchronous cloud pipeline orchestration across 40,000+ records in automated misinformation detection.
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BibTeX
@misc{mir2026blackbox,
title = {{The Black-Box Trap: What Building Real-Time NLP and Cloud Pipelines Taught Me About Explainable AI}},
author = {Muhammad Junaid Mir},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23486398},
url = {https://zenodo.org/records/23486398},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - The Black-Box Trap: What Building Real-Time NLP and Cloud Pipelines Taught Me About Explainable AI
AU - Muhammad Junaid Mir
PY - 2026
DA - 2026/10/17
PB - Zenodo
DO - 10.5281/zenodo.23486398
UR - https://zenodo.org/records/23486398
AB - Architectural conceptualization and comparative analysis of real-time NLP inference, token-level interpretability (LIME), and asynchronous cloud pipeline orchestration across 40,000+ records in automated misinformation detection.
ER -