Papers
2
Total Citations
744
H-Index
2
About
Asma Salhi is a prominent researcher specializing in trustworthy and explainable artificial intelligence (XAI), with a particular focus on healthcare applications and ethical AI frameworks. Her work sits at the critical intersection of AI reliability, transparency, and responsible deployment across high-stakes domains. Salhi's most influential contribution, a systematic review of trustworthy and explainable AI in healthcare published in 2023, has garnered an remarkable 666 citations, underscoring the urgent need for rigorous evaluation of AI systems in clinical settings. This landmark study assessed quality, bias risk, and data fusion methodologies, providing researchers and practitioners with a comprehensive framework for evaluating AI trustworthiness in medical contexts. Building on this foundation, her work "Towards Risk-Free Trustworthy Artificial Intelligence" explores the significance and requirements of safe algorithmic decision-making across diverse sectors, including education, business, government, and justice — accumulating 78 citations since publication. Through these contributions, Salhi has established herself as a vital voice in the growing conversation around responsible AI governance, helping shape how institutions evaluate and deploy AI systems where transparency, fairness, and accountability are not merely desirable, but essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2