A student is seated at a desk working on their laptop

Putting the AI in fAshIon

This story was published as part of the spring 2025 edition of The AI Journey at ASU

Every day, the fashion industry finds more and more uses for AI — and ASU-FIDM instructor Naomi Ellis wants her students to be prepared. From trend forecasting, to identifying target markets, to quick turnarounds on designs, Ellis said, “there is no area in our industry without it.”

ASU-FIDM is part of the 
Herberger Institute of Design and the Arts at Arizona State University.

FSH 394 Special Topic: AI in Fashion is a course dedicated to preparing students for the AI surge in the fashion industry. Students are gaining hands-on experience in creating a custom GPT as a versatile industry tool. 

“This makes them more prepared than any other fashion student,” Ellis said. “And, to my knowledge, there are no other schools or no other [fashion] students doing this.”

Ellis gained access to ChatGPT Edu and MyAI Builder this semester through the university's AI Innovation Challenge. Each student was provided a license to the platform, where they could create their custom GPT — utilizing the knowledge base and instruction features to tailor the AI to their needs.  

Vanshika Srivastava, a freshman studying fashion and business management, created “The Perfect Business Plan: Step by Step Fashion Business Builder,” a custom GPT meant to help young entrepreneurs navigate how to build their own brand.

Srivastava’s database includes information from the U.S. Census Bureau, WGSN (Worth Global Style Network) and the Wall Street Journal.

“I think, especially these days, not everyone wants to be restricted with working under someone. They want to be entrepreneurs and create their own brand. Instead of working through how to build a website yourself, you can ask this bot, and it will provide you with the information you need.”

Other proposed projects include using a custom GPT to create garment repurposing guides, study abroad pathfinders and an international brand finder for streetwear trends. But the most common goal among these students, and their proposals, is using custom AI experiences to fill sustainability gaps in the fashion industry.

 

Finding the gaps in sustainability

Concerns around the amount of power and energy required to run these AI systems are rising. According to Ellis, the topic and how AI can help are heavily discussed during the course.

“In terms of our industry, though, because you can make more accurate models, more accurate forecasts, more well-defined products, and you can look at things like your supply chain, AI can help in those areas by finding gaps in sustainability or by making less excess product,” Ellis said.

Students Michelle Aldana and Amara Korinko both tackled sustainability and ethical consumption with their custom GPTs.

Aldana’s custom GPT, built using ASU’s My AI Builder, focuses on the consumer, assisting in sustainable shopping by rating brands based on set sustainability and ethics criteria.

“As a consumer, personally, it’s always hard to figure out what brands are sustainable, which ones aren’t, because there is a lot of ‘greenwashing,’ where a brand might say they’re sustainable, but they're actually not,” Aldana said. “So, it takes a lot of research to find whether it actually is sustainable or not.”

Using research and scrutinized criteria such as, “community engagement and impact,” “tracability,” “packaging,” “reporting and transparency,” “clean chemistry,” and “social responsibility,” Aldana created a 100-point system generated after breaking down each section into percentages. So, when a brand is inputted into the chatbot, a breakdown of the score out of 100 points is tallied and summarized.

Meanwhile, Korinko’s custom GPT is meant to be used closer to the root of sustainability issues — for designers and manufacturers. “Material Mind: Sustainable Textile Database,” focuses on measuring the sustainable metrics of textiles in any industry: in production, in use and at end-of use.

“The idea is that it serves as an informational hub for designers and manufacturers to research what type of textiles they can use,” Korinko said. “Consumers, I think, are getting more knowledge on what is sustainable … but I also think there’s blame on both sides. Manufacturers and designers should be more of the ones to be concerned with [sustainability], because they’re working with it all the time.”

AI as a tool for growth

According to Ellis, one of the top considerations for using AI in student projects is its ability to be a useful tool — but the necessity of avoiding reliance on said tool.

“It's a tool, but you can't just rely on it,” Ellis said. “Look at the output, look at the data, and have a critical eye in understanding what's happening, and if anything is being swayed. You just have to be very aware of where those risks and ethical limitations are.”

For Ellis, one of the most exciting parts of the course is knowing that all of the information they curate can be taken with them to help supplement their future in fashion. 

“I feel like looking at these student projects, they have such incredible growth potential, even beyond the students that are currently in the class,” Ellis said. “And so I hope that this can become an opportunity for broader future projects. I hope these projects are just the spark.”