Abstract
<jats:p>The integration of Artificial Intelligence (AI) and Cloud Computing in higher education has led to the development of innovative, scalable, and efficient examination and evaluation systems. This book chapter explores the transformative role of AI and Cloud technologies in shaping adaptive assessment models, enhancing academic integrity, and ensuring secure, equitable evaluation practices. AI-driven systems enable real-time adaptation of assessments, offering personalized experiences that cater to individual learning progressions, while Cloud Computing ensures the seamless, scalable delivery of these systems across diverse educational institutions. The chapter critically examines key aspects such as AI-based proctoring, predictive analytics for student performance, and the ethical challenges surrounding data security, privacy, and algorithmic fairness. With an emphasis on ensuring transparency and equity, the chapter provides a comprehensive overview of the opportunities and challenges presented by the convergence of AI and Cloud technologies in academic evaluation. The importance of regulatory compliance, data protection, and bias mitigation within AI-based examination systems is also discussed. As the adoption of these technologies continues to grow, understanding their impact on educational outcomes, fairness, and accessibility is crucial for the future of academic assessments.</jats:p>