Featured Posts
WMD (White Male Default) Bias in AI
When we examine the pervasive bias in generative AI models, it’s alarming how deeply ingrained some of these biases are. Today marks the seven-dog-year anniversary of our previous article on the topic, and yet, the problem not only persists but is getting worse. This is why UX professionals need to act now.
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Modern Information Architecture for AI-first Applications
AI-first Information Architecture framework starts with 5 pages: Analysis Overview, Category Analysis, LLM Search Results, Item Detail with Contextualized Search, and Q&A Maintenance pages. It tells the story in the context of the customer’s need, using their language, through understanding the problem the customer is trying to solve.
UX for AI Guide to Inventions and Patents (Part 2)
Few things hurt AI-driven design projects as much as a lack of imagination. We break down some signature techniques used by notable scientists and inventors and explain how to use those specific techniques to help you achieve a breakthrough with your own AI project. Part 2.
UX for AI Guide to Inventions and Patents (Part 1)
Few things hurt AI-driven design projects as much as a lack of imagination. We break down some signature techniques used by notable scientists and inventors and explain how to use those specific techniques to help you achieve a breakthrough with your own AI project.
Embracing AI in Design Ops: Opportunities, Trends, and the Future Workforce
DesignOps stands at the threshold of an AI-driven transformation. Recently, I had the honor and privilege to be on the panel of DesignOps leaders at the #DesignOpsLA to discuss the evolving landscape of AI in design, operational efficiency, and how we can prepare our teams for the future. Here are the key takeaways from that dynamic conversation.
Storyboarding for AI-driven Products - Part 4: What sets the storyboards for AI-driven products apart?
In Part 4 we bring everything together and wrap it with a pretty bow and a final example, showing the importance of focus on the “what” and “why" and omitting as much of the interface as possible.
