Generative AI tools like ChatGPT Edu and Microsoft Copilot are everywhere, from drafting emails and brainstorming ideas to summarizing documents and answering complex questions. With all the buzz, it can be hard to separate hype from reality.
In our new Generative AI 101 training, we focus on building a clear, practical understanding of what generative AI is, how it works, and how to use it responsibly.
To give you a preview, here are five foundational facts about generative AI that are especially helpful to know before you start using these tools in your daily work.
1. Generative AI doesn’t 'think.' It predicts
Generative AI models don’t understand information the way humans do. Instead, they generate responses by predicting the most likely next word based on patterns learned from large datasets.
This means AI can sound confident and fluent while still being wrong. One of the most important skills when using generative AI is learning how to evaluate and verify its output rather than treating responses as authoritative answers.
2. The quality of your prompt matters more than most people realize
Generative AI is highly sensitive to how you ask questions. Clear context, specific instructions, and well‑defined goals lead to better results.
In our Generative AI 101 training, we explore practical prompt‑writing strategies like breaking tasks into steps or asking the AI to explain its reasoning. These techniques help users get more reliable and useful outputs with less trial and error.
3. Generative AI is best used as a collaborator, not a replacement
These tools excel at supporting human work. They can help you brainstorm faster, summarize long material, explore alternative perspectives, or draft early versions of content.
What they don’t do well is replace human judgment, subject‑matter expertise, or ethical decision‑making. The most effective AI use happens when people stay “in the loop” or are actively involved in their process and treat AI as an assistant rather than an autonomous solution.
4. Responsible use matters, especially in higher education and enterprise settings
Using generative AI responsibly isn’t optional. Considerations like data privacy, sensitive information, academic integrity, accessibility, and institutional policies all play a role in when and how these tools should be used.
A major focus of our Generative AI 101 training is helping participants understand risks, limitations, and best practices so they can make informed decisions, not just experiment with new technology.
You can review some of our current AI guidelines and best practices here:
- AI Guidelines and Use Cases
- University of Iowa Artificial Intelligence Strategy and Guiding Principles
- Generative AI ITS Hub
5. You don’t need a technical background to use generative AI effectively.
One common myth is that generative AI is only useful for technical experts. In reality, these tools are designed for everyday workflows across teaching, research, and administrative work.
With the right foundational understanding, anyone can learn how to apply generative AI thoughtfully and confidently even with no prior AI experience.
Want to learn more?
If you’d like to go deeper into how generative AI works, see real‑world examples, and practice using these tools responsibly, I invite you to attend Generative AI 101: Foundations and Use Cases.
This introductory training is designed for faculty and staff and focuses on:
- Understanding what generative AI is (and isn’t)
- Learning responsible and ethical approaches to AI use
- Exploring practical, real‑world use cases
- Building confidence in working with AI tools
Whether you’re just getting started or looking to use generative AI more effectively, this session will help you build a strong foundation you can apply right away.
Questions and support
If you have any further questions, email us at ITS-AISupportTeam@uiowa.edu. Or stay informed with our AI at Iowa newsletter and explore AI resources on the ITS website