Skip to Main Content

AI in Technical Communication & Writing

Finding Sources

Using high-quality sources shows that you've done your homework and builds trust with your audience. It ensures the information you're relaying is accurate and well-vetted, which is a cornerstone of ethical technical communication.

Start Your Research Here

The following databases are excellent starting points for finding high-quality articles, studies, and industry reports on AI. You can also supplement this research with industry blogs or similar sources.

Search Tips & Keywords

When searching in the databases, combining keywords will help you get more relevant results. Try mixing and matching terms to find relevant sources.

"generative artificial intelligence" AND "machine learning" AND “ethics”

Here are some keyword ideas to get you started:

  • AI & Technology Terms: Artificial intelligence, Generative AI, Large Language Model (LLM), Machine Learning, Natural Language Processing, Prompt Engineering, Model Temperature
  • Application Terms: Technical Communication, Information Design, Content Strategy, User Experience (UX), Data Analysis, Writing Assistance, Business Innovation, Data Engineering, Medical AI, Game Design AI
  • Concept / Impact Terms: Ethics, Responsible Use, Bias, Plagiarism, Academic Integrity, Productivity, Intellectual Property, Theory of Mind, Turing Test

Industry and Professional Sources

Once you have academic sources, which tend to focus on theory, background, and more rigorous studies, you can turn to the industry professionals working with AI in the field.  These sources can provide applied examples, perspectives, and timely “mini studies” or anecdotes to expand on your academic knowledge.

Tip: Before diving into the creator’s content, look for their bio information. Verify that they work in the field and have relevant experience with these topics. You can look for online portfolios, company profiles, and their LinkedIn accounts to their credentials.