This systematic literature review synthesizes peer-reviewed and high-quality studies published between 2023 and 2026 on AI-obfuscated, AI-refined, and humanized text and suggests that AI-text detection should be treated as one supportive signal rather than a stand-alone judgment, particularly in high-stakes academic or professional contexts.
Batyr Sharimbayev, S. Kadyrov· Engineering, Technology &...· 0 citations
The review found frequent use of supervised machine learning, regularized regression, EFA, CFA, SEM, and learning analytics, but limited reported use of explainable AI, subgroup fairness analysis, multimodal validation, and longitudinal designs.
N. Baizhanov, Batyr Sharimbayev, Zhairan Churbanova et al.· Frontiers in Artificial Inte...· 0 citations
Test set results show that Decoding-Enhanced Bert with Disentangled Attention (DeBERTa) achieves the highest macro F1 − Score of 85.48%, surpassing the previously top-ranked Multi-Task Learning (MTL) system, which attains a macro F1 of 83.07%.
Batyr Sharimbayev, S. Kadyrov· Journal of Advances in Infor...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
