AI Security explores the crucial role of artificial intelligence in safeguarding online assessments against cheating, a growing concern as digital platforms become central to education and professional evaluations. The book argues that AI not only enhances assessment efficiency but also fortifies security. Intriguingly, AI algorithms can detect suspicious patterns like unusual eye movements or keyboard activity, distinguishing between knowledge gaps and deliberate deception. Ethical considerations surrounding AI proctoring are also examined, emphasizing transparency and fairness.
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.
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