As AI becomes integrated in education, classrooms undergo transformations in how students learn, demonstrate understanding, and collaborate. Generative tools and platforms offer support for brainstorming, feedback, and research, while raising important questions about academic honesty and authentic learning. Educators must establish clear expectations that promote ethical AI use, design assessments that measure critical thinking, and foster collaborative environments where technology enhances human interaction. By integrating these principles, schools may further create AI-enhanced learning spaces that are innovative and responsible. Integrity, Assessment, and Collaboration in the AI Classroom explores how AI reshapes classroom practices related to ethical use, student evaluation, and shared learning experiences. It examines how educators maintain academic honesty, design meaningful assessments, and foster productive collaboration while integrating intelligent tools into everyday instruction. This book covers topics such as higher education, classroom management, and digital competencies, and is a useful resource for educators, engineers, academicians, researchers, and scientists.