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ECO 173

A course guide for Economics 173: Markets, Government, and Social Justice. A Critical Issues for Human Inquiry course.

A checklist for using AI for an assignment

Before you start, answer the following:

Does your instructor allow the use of the AI tool you are going to use?

Do you understand the assignment parameters on how and when you can use AI for the assignment?

 

While doing the assignment:

Are you using your own "thoughts, words, and tone of voice?"

Have you checked any citations generated by the AI engine for accuracy?

Have you analyzed the results for any "false, biased, or harmful information?"

Have you appropriately cited the AI engine you've used according to the standards of your class and instructor?

Have you used any "confidential, protected, or copyrighted information" inappropriately?

 

After the completion of the assignment:

Can you explain the results of your work and demonstrate that you understand them without assistance?

Can you "prove what sources" you used and the method you used to verify the information?

 

Book, C., et el. (2024). A student guide to navigating college in the artificial intelligence era. [infographic] Elon University. https://studentguidetoai.org/download-the-student-guide-to-ai/

Tips for using Generative AI for research

What are some better ways that I can use Generative AI in research?

• ChatGPT, Claude, Gemini, and others are decent for brainstorming and forming connections between different ideas.

• Examples:

• What are some emerging themes in business intelligence and AI?

• What is a contentious issue in economics and public policy that has been discussed multiple times in the NYTimes, the LA Times, and/or The Economist within the last six months?

• Prompt Generative AI tools such as ChatGPT to provide search terms that you can then turn around and use in a specific database.

• Example: What Boolean search terms can I use to find relevant research in the database Academic Search Premier about market manipulation, both current and historical?

• Note: Search terms and strings will look different in different databases. Say exactly which database you'd like to use. It may also prompt you if you'd like to see more specific terms and fields. These can be helpful to dig even deeper, especially if you are starting with a broad topic.

• Use designated research-focused AI tools

• Examples include Perplexity, Scopus AI, and Keenious.

• These have a much lower chance of hallucination, because the sources are limited to vetted scholarly journals.

It is still important to check the original works, however, to ensure the AI takeaways are accurate to the point you're trying to make.

Ethical Considerations

Ethical Considerations

• Generative AI sources are often kept opaque. Not only is it difficult to find where an AI has gotten its information, but also any private information you input may be shared with others without your knowledge or permission.

• Generative AI has been trained on copyrighted material and intellectual property used without consent.

• Disclose AI use as required and be ready to demonstrate your own understanding and skills. If you are unsure about the guidelines on acceptable AI use, ask your instructor.

Environmental Considerations

• The energy needed to run the systems that provide the computations behind an AI such as ChatGPT have an immense environmental impact, especially when scaled to the amount of use it sees on a daily basis.

"The soaring electricity demands of data centers and A.I. are straining the grid in some areas, pushing up emissions and slowing the energy transition." (Gelles)

Citing Generative AI

Do cite or acknowledge the outputs of generative AI tools when you use them in your work. This includes direct quotations and paraphrasing, as well as using the tool for tasks like editing, translating, idea generation, and data processing. Most manuals of style (APA, Chicago, AMA, etc.) have guidance on how to cite AI within their styles.

Do not use sources that are cited/summarized/mentioned by AI tools without reading those sources yourself.

Gelles, David. A.I.’s Insatiable Appetite for Energy. NYT, July 11, 2024