AI-generated images often reflect bias and exaggerate stereotypes related to race, gender, age, and disability. AI models are trained on stock images that often don't show equitable representation. In addition, the way AI image tools predict likely images can amplify biases. However, with the right tools and prompts, AI-generated images can be more inclusive than the traditional stock images we often use in training.

In this webinar, you'll learn strategies for writing more effective image prompts to minimize bias and reflect more inclusive representation in your learning. You'll get tips to more authentically represent your training audience by using AI images. While AI tools are improving all the time, they still have limitations that you need to be aware of. We'll discuss some of the ongoing challenges with inclusive representation in AI image generation and options to minimize those issues.

You'll leave with a collection of sample image prompts, a prompt framework for better results, plus tactics to make your AI-generated images more inclusive.

By the end of this session, you'll learn:

• Common problems with bias in AI-generated images to watch out for
• How to prompt for more inclusive AI-generated images for training
• Tips for overcoming challenges with inclusive representation in AI images to support learning

Christy Tucker is a learning experience design consultant with over 20 years of experience helping people learn. She specializes in using scenario-based learning to engage audiences and promote skill transfer to real-world environments. She has created training for a wide range of clients, including Fortune 500 companies, nonprofit associations, state and local government agencies, universities, and more. Christy has been blogging about instructional design and elearning for over 15 years and is a regular speaker at industry conferences and events.