A. Razia Sulthana

Papers

Total Citations

275

H-Index

About

Dr. A. Razia Sulthana is a leading voice in the rapidly evolving field of trustworthy and explainable artificial intelligence. Her research focuses on the critical intersection of AI security, bias mitigation, and system transparency, addressing the fundamental challenge of making advanced AI systems both reliable and understandable for human users. Her most impactful work, the comprehensive review "A Review of Trustworthy and Explainable Artificial Intelligence (XAI)," has garnered 275 citations since its 2023 publication, establishing it as a foundational reference in the field. This seminal paper systematically examines the vulnerabilities that arise from the rapid deployment of AI systems, including susceptibility to security attacks and inherent algorithmic biases that can lead to harmful errors. By mapping the landscape of XAI techniques and trustworthiness metrics, Dr. Sulthana has provided researchers and practitioners with a crucial framework for developing safer, more accountable AI. Her contributions are particularly vital as AI systems become increasingly integrated into high-stakes domains such as healthcare, finance, and autonomous systems, where transparency and fairness are not just desirable but essential for human safety and ethical deployment.