["Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026. ", "\nABSTRACT\n\nBackground\nGenerative artificial intelligence (GenAI) is transforming assessment practices in higher education, offering opportunities for efficiency and personalization while raising concerns related to academic integrity, fairness, and responsible use. Understanding how different users perceive and engage with GenAI is essential, particularly within rapidly advancing digital contexts such as the United Arab Emirates (UAE).\n\n\nObjectives\nThis study investigates students' and instructors' perceptions of GenAI integration in assessment and examines the relationships among perceived usefulness, perceived ease of use, perceived risk, attitudes, and responsible use, including the moderating role of user type.\n\n\nMethods\nAn explanatory sequential mixed‐methods design was employed. Quantitative data were collected from 193 participants (163 students and 30 instructors) using a validated survey instrument. Correlation, regression, mediation, and moderation analyses were conducted, complemented by qualitative thematic analysis of open‐ended responses.\n\n\nResults\nFindings revealed significant positive relationships among all constructs. Perceived usefulness and ease of use were combined into a higher‐order Technology Acceptance Model construct that strongly predicted attitudes. Perceived risk significantly influenced both attitudes and responsible use, emerging as the strongest predictor of responsible behaviour. Attitude partially mediated the relationship between technology acceptance and responsible use. User role significantly moderated this relationship, with a stronger effect observed among instructors. Qualitative findings indicated generally positive but cautious attitudes, highlighting concerns about over‐reliance, accuracy, and academic integrity, alongside a continued intention to use GenAI.\n\n\nConclusions\nGenAI adoption in assessment is shaped by a balance between perceived benefits and risk awareness. The findings highlight the importance of promoting responsible use through clear policies, training, and assessment design, offering practical implications for integrating GenAI within higher education systems.\n\n"]