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  1. AI Regulation and Governance.Mohammed M. Abu-Saqer, Sabreen R. Qwaider, Islam Albatish, Azmi H. Alsaqqa, Bassem S. Abu-Nasser & Samy S. Abu-Naser - forthcoming - Information Journal of Engineering Research (Ijaer).
    Abstract: As artificial intelligence (AI) technologies rapidly evolve and permeate various aspects of society, the need for effective regulation and governance has become increasingly critical. This paper explores the current landscape of AI regulation, examining existing frameworks and their efficacy in addressing the unique challenges posed by AI. Key issues such as ensuring compliance, mitigating biases, and maintaining transparency are analyzed. The paper also delves into ethical considerations surrounding AI governance, emphasizing the importance of fairness and accountability. Through case studies (...)
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  • Explainable AI (XAI).Rami Al-Dahdooh, Ahmad Marouf, Mahmoud Jamal Abu Ghali, Ali Osama Mahdi, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2025 - International Journal of Academic Information Systems Research (IJAISR) 9 (1):65-70.
    Abstract: As artificial intelligence (AI) systems become increasingly complex and pervasive, the need for transparency and interpretability has never been more critical. Explainable AI (XAI) addresses this need by providing methods and techniques to make AI decisions more understandable to humans. This paper explores the core principles of XAI, highlighting its importance for trust, accountability, and ethical AI deployment. We examine various XAI techniques, including interpretable models and post-hoc explanation methods, and discuss their strengths and limitations. Additionally, we present case (...)
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