Manjit Singh Sidhu0000-0002-9159-6000Dr. Kirandeep Kaur Sidhu2025-09-112025-09-1120259783031750908978303175091510.1007/978-3-031-75091-5_12https://dspace-cris.utar.edu.my/handle/123456789/11312In this chapter, we delve into the integration of artificial intelligence (AI) strategies for effectively managing disciplinary and bullying cases in schools. We begin by outlining preventative measures, harnessing AI predictive analytics to identify at-risk students and deploying virtual simulations to cultivate positive social behaviours. Utilizing natural language processing (NLP) algorithms and computer vision technologies, we explore AI role in early detection of disciplinary infractions and bullying behaviours, enabling swift intervention. Additionally, AI-driven chatbots offer immediate support and guidance to victims and perpetrators, while real-time sentiment analysis aids educators in gauging emotional climates within classrooms. Furthermore, personalized learning platforms and peer support networks leverage AI to provide ongoing support and rehabilitation for all parties involved. We conclude by emphasizing the importance of ethical considerations in deploying AI, highlighting the collaborative efforts needed to maximize its benefits in creating safe and inclusive learning environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.en-USArtificial intelligenceCyberbullyingDisciplinaryMachine learningbook-chapter