Key take-aways

Issues to Consider:

• AI-generated text is not always accurate or contextually relevant, making human oversight essential. Students need training to critically evaluate AI outputs and differentiate between useful insights and misleading information.
• AI should complement, not replace, traditional research methods such as engaging with academic literature.
• Some students expressed concerns about the stigma surrounding AI use, fearing their work might be perceived as less valuable. To address this, institutions should establish clear guidelines on AI usage in academic work to reduce uncertainty.

Recommendations:

• Courses should incorporate AI literacy components to teach students how to use AI responsibly. Instead of relying on AI to think for them, students should be encouraged to seek feedback and refine their own ideas.
• Universities should foster open discussions about the appropriate and ethical use of AI in academic settings.