{"id":49014,"date":"2023-06-16T14:10:00","date_gmt":"2023-06-16T14:10:00","guid":{"rendered":"https:\/\/www.gpstrategies.com\/?p=49014"},"modified":"2025-03-31T13:06:04","modified_gmt":"2025-03-31T13:06:04","slug":"using-ai-to-generate-images-for-learning","status":"publish","type":"post","link":"https:\/\/www.gpstrategies.com\/blog\/using-ai-to-generate-images-for-learning\/","title":{"rendered":"AI Prompt Design for Image Generation"},"content":{"rendered":"\n

Learning and development professionals know the hassle of finding the right content for eLearning<\/a>, such as images, infographics, job aids, and other visuals. Content designers, graphic artists, and media developers spend endless time scrolling through stock photo libraries to find adequate images for their content. In many cases, the selection is limited, especially when searching for photos of people that match specific criteria like age, ethnicity, and emotion.\u00a0<\/p>\n\n\n\n

By using AI, learning professionals no longer have to rely on preexisting photos. Now, they can use tools such as Midjourney, Stable Diffusion, DALL-E, and others to create new images based on their own specific and individual requirements. In this blog, we\u2019ll discuss how to use AI to create images through effective prompt design and offer valuable tips on how to refine those AI images using prompt engineering techniques. <\/p>\n\n\n\n

Note: The use of AI-generated images is a gray area. There are many concerns related to copyright and the safe and transparent use of such images. Using AI to generate images remains nascent and the legal ramifications are currently under investigation. Determining whether AI-generated images violate intellectual property rights is a multifaceted issue without a simple, definitive response.<\/em> <\/p>\n\n\n\n

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Implementing AI for Image Creation  <\/h2>\n\n\n\n

Challenges and Considerations   <\/h3>\n\n\n\n

When using AI to create images, learning professionals should take into consideration that AI tools<\/a> are trained using existing image databases. There are many examples showing how biased AI applications can be and how dependent they are on their training material and trainers. It is important to ensure that, as learning professionals, we embrace diversity, equity, and inclusion through AI-generated images for improved quality, safety, and accuracy. <\/p>\n\n\n\n

Ethical and Accuracy Issues <\/h3>\n\n\n\n

Respecting intellectual property, rights, patents, and copyright obligations around the use of AI-generated images is of tremendous importance. As learning professionals, we should ensure safe and reliable use of any image appearing in our work. We should be transparent regarding the use of these images, which prompts were used, and which AI tool and version was used to generate the image. <\/p>\n\n\n\n

Note: The U.S. copyright office reiterated that copyright protection depends on the amount of human creativity involved, and that the most popular AI systems likely do not create copyrightable work. The EU has put together an early EU agreement that could pave the way for the world\u2019s first comprehensive laws governing the technology. According to this agreement, companies deploying generative AI tools will have to disclose any copyrighted material used to develop their systems.<\/em> <\/p>\n\n\n\n

Understanding AI Prompt Design   <\/h2>\n\n\n\n

Watch the following video to learn more about prompting and the importance of being as specific as possible: <\/p>\n\n\n\n

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