AI Tips for Students

• Ask your instructor if it's okay to use AI!! Follow syllabus AND assignment directions that say if using AI is allowed or prohibited, and pay attention to what kind of AI use is permitted. 
• Use AI tools responsibly and appropriately. AI tools should help you make your academic work better, not do the work for you. You are the creator of your work.
• Cite work produced by generative AI tools if you gained information from AI (see how-to info later on this guide).
• Check the accuracy of work produced by AI.
• Verify with additional sources to confirm or correct the AI work. 
• Don't mistake AI created work as expertise with credentials. There are a lot of examples out there showing you can't trust AI information even if it credits an educated, certified, or famous person. 
• Watch for bias. AI tools draw from information on the Internet, which includes biased content.
• Think critically about what AI generates. AI does not take the place of critical thinking, human interpretation, and decision-making.
• You need to know enough about the topic to think about what AI produces. 
• Don't rely on AI rather than yourself, and don't get overly influenced by it. 
• Human -> AI -> Human is a great tip. You (human, we assume) generate your initial idea and the careful prompt to get the AI tool to create what you want. AI does its magic to create what it can for you based on your prompt. You (still the human, we hope) have to check and modify the AI output to make it a quality product that matches what you want to create and what your instructor expects. 

In the 2024-2025 Kishwaukee College Student Code of Conduct, the Academic Dishonesty section lists violations that could involve use of AI tools. Be careful to avoid these!

1. "Cheating, such as copying another student's work, academic work, paper, exam, quiz, or project, unauthorized use of calculators, AI tools, browser extension, apps, or other study aids or the sharing of information during a test through use of personal electronic devices or by other means; or unauthorized collaboration on academic work."
2. "Fabricating or Falsifying Information, such as data, results, or sources in academic work."
3. "Plagiarism, which is falsely representing the work of another person as the student's own work or failing to properly acknowledge sources of information, including AI generated materials, in the student's academic work."​​​​​

AI in the Classroom: A box of chocolates

February 15, 2024, Kishwaukee College Student Lounge