Challenges and Limitations of AI-Generated Academic Content

Challenges include data privacy concerns, ensuring content quality and accuracy, addressing potential biases in AI algorithms, and ensuring equitable access to technology.

AI systems may inadvertently reflect biases present in training data, potentially impacting the fairness of content delivered to different student groups.

Examining real-world implementations helps understand how these challenges can be addressed and the potential of AI in education.