Reduced human interaction: AI can reduce opportunities for social learning and relationship building, which can weaken social skills and lead to isolation.
Algorithmic bias: AI algorithms can reflect the biases in the data they are trained on, which can perpetuate stereotypes and prejudices.
Technology overdependence: Students may become overly reliant on AI tutoring systems, which can reduce their ability to think critically and independently.
Plagiarism: It can be easy to copy or paraphrase existing works without citation when using AI as a research tool.
- Psychosocial impacts: AI may negatively impact students' mental well-being and social development.
- Data security and privacy: Universities must be vigilant about protecting student data
- Lack of empathy: AI systems cannot replicate the empathy, understanding, and personal connection that human educators offer
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