
For this task, I asked Microsoft Copilot to generate an image of the ideal playroom for a 13-month-old toddler. This is my son’s age, and we’re exploring ways to rearrange his play spaces around the house to make them more engaging and fun for him. I thought requesting an image of the “ideal playroom” for this age would give me some helpful ideas.
I believe the AI’s process to generate the image above involved searching the web for other playroom images and identifying a pattern of what a suitable playroom for this age would look like. In my opinion, the image the AI produced reflects what most online content considers to be an ideal playroom for a toddler. This approach aligns with Dr. Vallor’s view that AI mirrors the patterns and opinions of today’s society.
I did not expect the playroom to feature mostly neutral colours, such as beige, light brown, and white. I believe toddlers enjoy having bright colours in their play space. I understand that many parents and interior designers might prefer neutral colours that blend seamlessly with other parts of the home. I think the inclusion of a play kitchen, table, chairs, and climbing triangle makes a lot of sense, as these are toys that our son would likely love to play with at his age. If I had added more information to the initial prompt or added more prompts following the first image, the AI could have better understood our family preferences and suggested more customized playroom designs that balance aesthetic appeal with a child’s developmental needs.
Lastly, I also assume that much of the training data used for the AI tool includes opinions from influencer parents on the internet, as well as interior designers who favour a more neutral colour palette.
References
Santa Clara University. (2018, November 6). Lessons from the AI Mirror Shannon Vallor. [Video]. YouTube.