The Challenges of AI in Education: From Data Protection to Algorithmic Bias
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Abstract
This article examines the impact of artificial intelligence (AI) on the field of education and explores its benefits and challenges. The use of AI in the education sector offers many advantages such as the automation of repetitive administrative tasks and the personalisation of learning paths. However, this raises ethical concerns about the protection of personal data and the risk of creating algorithmic biases. In addition, we address other challenges: those related to the opposition between automated and human assessment as well as the complex implications of facial recognition in an educational context. It is essential that a considered and ethical approach to the deployment of AI in education is thought through, emphasising the need for clear and transparent ethical principles and careful pedagogical reflection. We recommend the use of open-source AI tools to promote transparency and compliance with current regulations.
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References
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