Vol. 6 No. 2 (2026): July−December 2026
Articles

Reliable Language, Retrieval, and Secure AI Systems: Evidence on Document Intelligence, Generative Models, Recommendation, and Adversarial Resilience

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  • Avery Mitchell
Avery Mitchell
Information Science, University of Arizona, Tucson, Arizona, USA

Published 2026-07-13

Keywords

  • large language models,
  • retrieval-augmented generation,
  • document intelligence,
  • recommendation systems,
  • AI security,
  • human oversight
    • ...More
    Less

How to Cite

Mitchell, A. (2026). Reliable Language, Retrieval, and Secure AI Systems: Evidence on Document Intelligence, Generative Models, Recommendation, and Adversarial Resilience. Spectrum of Research, 6(2). Retrieved from https://spectrumofresearch.com/index.php/sr/article/view/57

Copyright (c) 2026 Spectrum of Research

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This structured review examines 140 assigned references spanning large language models, retrieval-augmented generation, prompting, agents, document intelligence, recommendation, semantic modeling, privacy, and adversarial security. The evidence is organized around source quality, retrieval and representation, generation or prediction, evaluation, and human oversight. The review emphasizes provenance, groundedness, refusal behavior, robustness to malicious inputs, workflow consequences, and evaluation beyond surface similarity. Because the corpus is bibliographic and coded primarily from titles, the synthesis is designed for traceability and research planning rather than numerical meta-analysis.

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