Over the past decade, artificial intelligence has begun to reshape educational systems through tools used for assessment, planning, analytics, and administration. These systems are often introduced through commercial platforms and are becoming embedded in everyday educational practice before clear governance arrangements are in place. As AI becomes more integrated into classrooms and institutions, questions arise about transparency, accountability, professional autonomy, and the use of data generated through teaching and learning. Understanding how these systems influence educational decision-making, professional practice, and institutional priorities is increasingly important as AI becomes a routine part of educational infrastructures.

More information here: https://ai4education.org/

Smart glasses represent the next wave of AI-enabled technologies entering educational environments. Unlike earlier digital tools, these wearable devices bring cameras, microphones, sensors, and real-time AI processing directly into classrooms, enabling continuous recording, transcription, and augmentation of everyday interactions. Their presence raises new questions about privacy, consent, surveillance, and the boundaries of professional and student rights in learning spaces. As these devices move rapidly from consumer markets into educational contexts, there is an need to examine the social, ethical, and governance implications of wearable AI in schools and universities.

More Information here: https://ai4education.org/smartglasseslab/

The uptake of artificial intelligence and other emergent technologies in education has created new challenges for teachers, institutions, and policymakers as they navigate questions of safety, ethics, and effective pedagogical use. Many educators are now encountering AI systems in their daily work without clear guidance on how these technologies should be integrated into teaching and learning. The Teaching with Responsible AI Network brings educators, researchers, and policy specialists together to share knowledge, develop practical guidance, and support responsible approaches to AI in education. Through collaboration and dialogue, the network focuses on strengthening AI literacy while foregrounding safety, rights, and professional judgement in educational practice.