Mirutha R, Guest Lecturer Government Law College Villupuram
ABSTRACT
The integration of Artificial Intelligence (AI) in the education sector promises to revolutionize traditional learning environments by enhancing personalized learning, improving administrative efficiency, and providing data-driven insights into student performance. However, the implementation of AI technologies faces numerous challenges that must be addressed to realize its full potential. This paper explores the multifaceted barriers to AI adoption in education, focusing on technological limitations, data privacy concerns, and ethical dilemmas. Technological barriers include insufficient infrastructure and compatibility issues that hinder the effective deployment of AI solutions. Data privacy and security concerns arise from the collection and processing of sensitive student information, necessitating adherence to legal frameworks such as the Family Educational Rights and Privacy Act (FERPA) and the General Data Protection Regulation (GDPR). Moreover, the acceptance and utilization of AI by educators are often impeded by inadequate training and resistance to change. Equity and accessibility further complicate the landscape, as disparities in access to technology can exacerbate existing educational inequalities. Lastly, ethical considerations surrounding algorithmic bias and transparency necessitate critical examination to ensure fair AI application in educational contexts. This study aims to provide a comprehensive analysis of these challenges and offers recommendations for policymakers, educational institutions, and technology developers to foster a more equitable and effective integration of AI in education.
Keywords: Artificial Intelligence, Education, Data Privacy, Equity, Ethical Considerations
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