Using the Stable Video tool, the header video was created using the following prompt:
shot from a drone, dust storm in a field in the midwest

Table of Contents

Keyword Research

• Research and select relevant keywords that your target audience is likely to search for. Think how your typical audience would think if they were looking for information. Use common language!
• Use tools like Google Keyword Planner to identify high-traffic and low-competition keywords.
• Use bold and italics to emphasize page keywords and to make the page easier to scan and be more readable.

Artificial intelligence has been in our everyday lives for some time. Think of Amazon's Alexa and Apple's Siri voice assistants. They can be helpful to perform tasks.

Generative artificial intelligence has been researched for decades, but has not been widely implemented or discussed outside research circles. You may have experienced generative AI though predictive text (Smart Compose) in Gmail.

The UIS Syllabus and Assignment Icons, adapted from the Oregon State project, represent some approaches to generative AI use for course policies and assignments. Syllabus statements are also a great way to frame the conversation about generative AI with your students. As instructors, it is important to provide guidance on acceptable generative AI usage from the start of a course. Instructors are encourages to modify and adapt the descriptions to fit courses and assignments.

Tap into the Power of AI

Explore the latest AI tools, resources, and insights to help you harness the power of artificial intelligence for innovation, productivity, and learning.

Have a new AI tool to add below? Email web@uis.edu to get it added to our resource lists below!

Adobe Photoshop features Generative Fill capability, that allows users to prompt Photoshop to create or update an image with GenAI. Photoshop uses the Adobe Firefly Image Model to create richer, more lifelike images, that help to bring life into your photographs.

When using different GenAI models, you may encounter biases stemming from unequal representation in the training data. This can manifest as gender biases and a lack of diversity in the subjects depicted in the generated images.

Some examples of bias found when using GenAI image models:

Prompt: engineer

All the images generated show white, male subjects.

The prompt asks for a summary of key discoveries made by a specific scientific instrument (the Hubble Space Telescope) and requests citations from reliable sources. This approach helps to determine the source of the information provided and allows users to check for accuracy.

Prompt

User: "What are the top 3 most important discoveries that the Hubble Space Telescope has enabled?
Answer only using reliable sources and cite those sources."