AI for images
AI for images
Generative AI can assist with the creation of images for learning materials, especially where a designer needs illustrative concepts, scenario visuals, placeholders, simple diagrams, or visual variation. It can be useful for speed and flexibility, but it also introduces questions about accuracy, appropriateness, copyright, bias, and educational value.
Where AI can help
AI image generation may be useful for creating:
These uses are most effective when the image does not need to function as precise technical evidence.
Good practice
When using AI for images:
Be clear about the purpose
Decide whether the image is decorative, explanatory, motivational, or essential to understanding.
Check for accuracy
AI images often contain visual errors, especially when depicting tools, processes, interfaces, anatomy, text, or technical detail.
Review for representation and bias
Check whether the image reflects the intended context and avoids stereotypes or unintended exclusion.
Use alt text and accessibility support
If the image is used in learning materials, support it with text alternatives and avoid relying on visuals alone to convey critical information.
Match the visual style to the course
Ensure the generated image fits the tone and credibility of the course rather than looking arbitrary or out of place.
Risks and limitations
AI-generated images can:
These risks make AI images less suitable for contexts where precise visual fidelity matters, such as compliance training, technical instruction, or assessment evidence.
Example uses
Example 1: Scenario setting image
A designer creates an image showing a busy office environment to support a workplace communication scenario. The image helps establish context but is not relied on for any technical detail.
Example 2: Early design placeholder
During course prototyping, a designer uses AI-generated images to test layout, page balance, and tone before deciding whether final visuals should be commissioned, sourced, or redesigned.
Practical guidance
Use AI images when they help to:
Be cautious when the image is expected to:
AI image tools are most useful when they are used intentionally and reviewed critically, not when they are treated as automatic replacements for visual design or educational judgement.