Aiman Al-Sabaawi
Papers
1
Total Citations
78
H-Index
1
About
Dr. Aiman Al-Sabaawi is a leading voice in the emerging field of trustworthy and risk-free artificial intelligence. Her research critically examines the intersection of algorithmic decision-making, AI ethics, and system transparency, with a particular focus on developing frameworks that ensure AI systems are both reliable and accountable. Her most cited work, "Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements" (2023, 78 citations), establishes foundational principles for building AI that operates safely across high-stakes domains such as healthcare, justice, and business. This paper has become a key reference for researchers and practitioners seeking to mitigate algorithmic bias and systemic failures. Beyond this landmark study, Dr. Al-Sabaawi’s broader contributions include advancing methodologies for risk assessment in AI deployment and advocating for human-centric design in autonomous systems. Her work bridges technical rigor with ethical imperatives, making her a sought-after collaborator in cross-disciplinary initiatives. With her research gaining traction among academics and industry leaders alike, Dr. Al-Sabaawi is shaping the next generation of responsible AI development.
Research Focus
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Top Papers
- 1