The book begins by outlining the landscape of online assessment and prevalent cheating techniques. Subsequent sections delve into AI-powered behavior analysis, the challenges of identifying unauthorized collaboration, and ethical frameworks for AI proctoring. It progresses logically, building from foundational concepts to complex applications, including real-world case studies.
By combining technical expertise with ethical considerations, AI Security offers a holistic understanding of the challenges and opportunities in AI-driven assessment, making it a valuable resource for educators, technologists, and policymakers navigating the evolving landscape of AI and semantics in education.