A Systematic Review On The Identification Of The Education System And Legal Aspects Of Artificial Intelligence, From An International Perspective

Abstract

Artificial intelligence has made significant steps with the application related towards various sectors, including transportation, healthcare, and finance in recent years. AI-powered platforms and tools have the ability to completely change the learning and teaching process, and education with less exception in the international context (Jaber, & Fritsch, 2022). The ethical concerns and several legal raised by the integration of AI in education were addressed to make sure it's responsible and equitable use. The key challenges and issues that were considered by policymakers, technology developers, and educators were highlighted in the international context, and this research provides a systematic review of the legal framework surrounding AI in education. Data privacy is one of the primary legal concerns that is related to artificial intelligence in education. In the context of education, the data frequently includes student sensitivity information like their achievements in academic, personal traits, and learning preferences. Artificial intelligence system depends on huge volume of data to operate efficiently. The storage, collection, and use of the data needs to comply to the rela[1]ted privacy regulations, such as the General Data Protection Regulation (GDPR) in the European Union and the Family Educational Rights and Privacy Act (FERPA) in the United States (Archambault, 2021).