AI Risk and Resolution in Higher Education and Academic Integrity

The rapid integration of artificial intelligence (AI) into higher education has transformed teaching, learning, and research, but it has also introduced complex challenges related to academic integrity and ethical use. As AI tools become increasingly accessible, institutions must confront the dual imperative of leveraging their potential for innovation while discussing the risks of misuse, such as plagiarism and diminished critical thinking. AI risk and resolution in higher education therefore require a systemic approach that combines digital literacy education and technological safeguards. This can be achieved by creating a culture of integrity and responsible AI use. AI Risk and Resolution in Higher Education and Academic Integrity explores how educators and higher education institutions can use AI responsibly to enhance teaching, classroom management, and academic administration. The book distinguishes the opportunities and challenges of using AI in a learning environment. Covering topics such as higher education, artificial intelligence, and academic integrity, this book is an excellent resource for educators, educational technology developers, policymakers, administrators, researchers, and more.

Nuzhat Younis is a Lecturer and SFHEA with extensive experience. She is currently affiliated with UWE Bristol and EDA College, delivering undergraduate and postgraduate modules while supervising research projects across multiple domains, including cybersecurity and business analytics. Nuzhat has a diverse academic and technical background, with teaching and leadership roles across the UK, Middle East, and South Asia. She is pursuing a PhD in Management and IT, focusing on the impact of AI tools in higher education. Passionate about inclusive digital education, she actively contributes to curriculum development, quality assurance, and staff training initiatives.

Dr. Yasmine Z. Rosunally is a Senior Lecturer in Information Science at the University of the West of England, with over 18 years of experience in higher education. She specialises in Transnational Education (TNE), curriculum design, and international programme management, having led initiatives across China, Nepal, Vietnam, and Hong Kong. Yasmine is a recognised researcher in technology-enhanced learning, gamification, and AI in education, with numerous publications in high-impact journals. She holds a PhD in Applied Computing and is a Senior Fellow of the Higher Education Academy (SFHEA). Yasmine also serves as an external examiner and advisor for several UK universities.

Dr. Mazhar Malik is Associate Director/Head of Artificial Intelligence department at UWE Bristol, with extensive expertise in cybersecurity, IoT, digital forensics, and computing education. He has held senior academic leadership roles in the UK and internationally, including at Head of Computing and IT at Global College of Engineering and Technology Oman. Dr. Malik actively contributes to global programme reviews, academic quality assurance, and professional accreditation. His research interests include network and IoT security, digital forensics, data analytics, and technology-enhanced learning. His research portfolio includes over 50 peer-reviewed publications on secure routing in IoT, smart cities, medical data analytics, and AI-enhanced cybersecurity. Notable works include contributions to Vehicular Communications, Computers, IEEE Access, PLOS ONE, and Scientific Reports.