Ammar Dukhan
Papers
1
Total Citations
78
H-Index
1
About
Ammar Dukhan is a rising voice in the emerging field of trustworthy and risk-aware artificial intelligence. His research centers on the critical intersection of AI safety, algorithmic decision-making, and ethical system design, with a particular focus on ensuring that high-stakes AI applications remain both powerful and responsible. Dukhan’s most influential work, "Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements" (2023), has already garnered 78 citations, establishing a foundational framework for evaluating and mitigating risks in AI systems deployed across education, healthcare, government, and justice sectors. This paper articulates the essential requirements for building AI that is not only transparent and fair but also demonstrably risk-free in its operations. By bridging theoretical principles with practical implementation guidelines, Dukhan is helping to shape the next generation of AI governance. His contributions are particularly timely as industries and regulators worldwide grapple with the dual challenges of innovation and accountability. For students and researchers exploring the future of responsible AI, Dukhan’s work offers a clear roadmap for developing systems that earn genuine trust through rigorous risk management.
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Top Papers
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