Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
Alin-Gabriel VÄduva, Simona-Vasilica Oprea, Adela Bâra
The integration of large language models (LLMs) into peer review raises a concern beyond authorship and detection: the potential cascading automation of the entire editorial proces…
cs.AI2026
Measuring the Fragility of Trust: Devising Credibility Index via Explanation Stability (CIES) for Business Decision Support Systems
Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Adela Bara
Explainable Artificial Intelligence (XAI) methods (SHAP, LIME) are increasingly adopted to interpret models in high-stakes businesses. However, the credibility of these explanation…