AI for Creating Safer School in Indonesia

While Indonesia's access to education has improved, its quality remains a concern, particularly in addressing widespread social issues like bullying. Schools need innovative solutions that provide real-time insights and enable timely interventions, and AI offers promising advancements in this area. However, the implementation of AI-based monitoring systems faces challenges, not only due to technological limitations but also significant ethical concerns. This study examines the ethical considerations surrounding the use of AI video analytics in detecting and preventing bullying in schools. By applying the ethical frameworks of Utilitarianism, Deontology, and Virtue Ethics, the research provides a comprehensive evaluation of whether AI can be ethically integrated into school surveillance systems. The findings suggest that while AI video analytics can enhance student safety and well-being by reducing harm, there are significant ethical concerns related to privacy, potential biases, and the risk of undermining the role of teachers. The study concludes that AI systems can be ethically justified if implemented with transparent privacy safeguards, continuous refinement to avoid bias, and careful integration to support teachers. These findings offer practical recommendations for policymakers and educators on the responsible implementation of AI in educational environments.