If AI is allowed for your class, here are some ideas about uses for generative AI:

  • Writing assistance: Use AI at discrete parts of your writing process, for example, to brainstorm or generate ideas, help you think about organization, adjust your writing style to suit your audience and purpose, and to check sentence clarity, grammar and citations. Always remain the primary author of your work. 

    The term “AI-Human Loop” is used in several different disciplines, such computer science, engineering and data science, to emphasize the importance of combining human interaction with automated systems. When you use AI for school, personal or professional reasons, remember this term and remind yourself that it’s important to bring your own personal knowledge, expertise, and experiences to working with AI tools. Work back and forth with AI output by asking questions and for clarifications; revise AI generated text; critique AI numerical output; and double-check AI generated sources and facts. AI output of any kind is not meant to be copied exactly as it is generated, without human intervention and revision. Taking an “AI-Human Loop” approach highlights that AI should enhance, and not replace, human critical thinking, writing and numeracy skills.
  • Creative assistance: AI tools can spark your imagination in production of art, graphic design, music, performing arts and other creative expressions. Be sure to credit creators of the original works.
  • Study assistance: Use AI tools as a tutor partner; ask it to create study notes, challenge you with quizzes and test your understanding. Make sure you critically evaluate the accuracy of these materials as you study. 
  • Research and information gathering: Ask AI to distill or explain complex concepts in language you can undertand. Always critically evaluate AI output to ensure the information is credible and relevant. Read original sources to verify facts and gain a deeper understanding.
  • Data analysis and visualization: Use AI to interpret and summarize data sets and create data visualizations. Always verify the work and make sure you are able to explain and justify the results.