Evolution of Student Protection in School Environments
Since the introduction of technology education in American schools, the issue of student protection has grown in importance. The American Federation of Teachers (AFT) and the United Federation of Teachers (UFT) recently signed an agreement with Microsoft, establishing a new standard of security and privacy for the use of artificial intelligence (AI) in schools. This measure, which came into effect on 1 November 2026, aims to ensure a safe and student-respectful educational environment.
The Objectives of the New Standard
One of the main objectives of this new standard is to ensure the security and confidentiality of students’ personal data. Indeed, interactions between students and AI systems in schools can generate vast amounts of data. This data, which may contain sensitive information, must be protected against any unauthorized or malicious use. The new Microsoft standard aims to address these concerns by instituting robust security measures and ensuring the confidentiality of data is respected.
Neurodependent Stimulation Protection
Microsoft’s standard also incorporates measures to prevent potential impacts of AI on the mental and physical health of students. When considering the impact of technologies on students’ well-being, it is crucial to ensure that the use of AI does not lead to neuro-dependent forms of stimulation. This means that students should be able to benefit from AI without becoming overly dependent on it, which could harm their autonomy and their ability to concentrate.
Ethics and Educational Well-being
The new standard of security and privacy also aims to ensure an ethical and caring educational environment. It places emphasis on the necessity of promoting enhanced health and well-being for students. By integrating ethical principles into the development and use of AI, Microsoft seeks to create a school environment in which students can grow and learn in favorable conditions.
The Impact of Computational Biology
Computational biology, a field that explores the interaction between biology and digital technologies, plays a crucial role in applying these measures. Tools of computational biology, such as gene expression analysis and biomedical imaging, can be used to monitor and support the well-being of students. For example, using AI to evaluate a student’s biological signals may allow for the early detection of signs of anxiety or depression, enabling proactive intervention.
Cet article est rédigé par Blaise Grenier, Journaliste reporter d'images et auteur. Découvrir le parcours de l'auteur et la charte éditoriale »