5 papers
Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
Abu Noman Md Sakib, Protik Dey, Zijie Zhang +1
Explainable Artificial Intelligence (XAI) is critical for ensuring trust and accountability, yet its development remains predominantly visual. For blind and low-vision (BLV) users,…
Beyond Semantic Similarity: A Component-Wise Evaluation Framework for Medical Question Answering Systems with Health Equity Implications
Abu Noman Md Sakib, Md. Main Oddin Chisty, Zijie Zhang
The use of Large Language Models (LLMs) to support patients in addressing medical questions is becoming increasingly prevalent. However, most of the measures currently used to eval…
Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition
Abu Noman Md Sakib, Zhensen Wang, Merjulah Roby +1
Reliable pattern recognition systems should exhibit consistent behavior across similar inputs, and their explanations should remain stable. However, most Explainable AI evaluations…
Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
Abu Noman Md Sakib, Merjulah Roby, Zijie Zhang +3
Computed tomography image segmentation of complex abdominal aortic aneurysms (AAA) often fails because the models assign internal focus to irrelevant structures or do not focus on…
Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
Abu Noman Md Sakib, OFM Riaz Rahman Aranya, Kevin Desai +1
Attribution maps for semantic segmentation are almost always judged by visual plausibility. Yet looking convincing does not guarantee that the highlighted pixels actually drive the…