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Using AI: Choosing When to Use AI

Understanding AI tools’ strengths, weaknesses, and biases will empower you to appropriately leverage the power of generative AI to support your writing across a variety of academic, professional, and personal pursuits.

Choosing When to Use AI

To better understand when to use generative AI, let’s use another baking analogy created by Maha Bali.  

If you need a cake for an event, you have some options. You might: 

  • Make it from scratch using your own ingredients 
  • Bake with a box of cake mix 
  • Order a pre-made cake from a bakery 
  • Buy a box of Twinkies 

None of these options for cake are inherently good or bad. Instead, each option comes with its own pros and cons and will be appropriate in different situations.

Baking a Cake, Made from Scratch, Readymade Cake Mix, Buy from a Bakery, Buy Cheaper Knockoff

If you want a cake for a close friend’s birthday, spending hours of extra preparation making a cake from scratch would add a personal touch and give you full command of the cake’s taste and texture.  

If you’re bringing a cake to a casual social gathering, however, since the cake merely serves to bring people together, buying a decent quality cake from the bakery would save you hours of unnecessary work.

No Ai, Used for Outline, Incorporate Human and AI, No AI

Similarly, you should adapt your use of generative AI and LLMs when writing to the specific needs and context or your project.

For instance, relying on generative AI to write a complete research paper based off a single prompt would be as effective as bringing Twinkies to a baking competition.

Working with generative AI to craft a working outline for a research paper, however, could save time and provide a solid foundation, much like baking a cake using a boxed cake mix. 

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