Reflect on a time you used AI and received a poor or irrelevant response. How might you redesign your prompt — using structure, role, or examples — to achieve a more accurate and useful result? 

Why is context critical when applying AI to professional tasks? Give one example of how providing better context could prevent misinformation or improve quality in your domain. 

In your discipline, where might Western or English-language bias in AI outputs create misunderstanding or harm? How could you adapt or validate AI-generated content to make it more culturally and contextually appropriate? 

 Reflect on a situation in your work or study where using AI might blur ethical boundaries. What steps could you take to ensure transparency, accountability, and respect for privacy when applying generative AI? 

 How could generative AI realistically enhance productivity or learning outcomes in your field without compromising human judgment, empathy, or creativity? 

When using AI-generated information or solutions, how do you decide whether to trust the output? Describe one practical validation method you could use to ensure accuracy and reliability in your context. 

How do you envision your professional or academic role evolving as AI becomes more integrated into your field, and what new skills will you need to remain relevant and effective?