OpenAI: Sam Altman is Gone. Now What?

My take on the future of the world's top AI company.

$75 OFF - UX for AI: A Framework for Product Design

Rosenfeld Media 3-day virtual workshop December 6-8 2023

Faster, UX Pussycat! Kill! Kill!

Sure, AI can design, but can it kill? The new UX superpower is killing bad ideas and projects with low ROI. Welcome to the New Normal.

UX is Dead. Long Live UX! Announcing the UX for AI Newsletter Launch

UX for AI Newsletter Launch

Transforming AI Bias into "Augmented Intelligence" – a Powerful Tool for a Better World

Generative AI bias is everywhere. It is a warped and dark mirror of our world, the insidious misinformation and disinformation hidden in plain sight. But it is also an opportunity to consciously see the bias and deliberately take steps to overcome it with Augmented Intelligence.

UX for AI workshop at UXStrat in Boulder, CO - September 11th, 2023

Accuracy is Bullsh*t (Part 2, a 3-min Video)

AI Accuracy is Bullsh*t. Here's what UX must do about it. (Part 1)

What's the best-kept secret in the Data Science community? AI Accuracy is meaningless in the real world.

How to Create Figma Tables for AI Designs in Less Than 3 Minutes

We boil down almost four decades of design experience to demonstrate how to best create tables in Figma (as well as other standard components) in the age of AI. We offer a simple, straightforward, and highly practical approach to creating tables in Figma that allows a typical table to be built live on a Zoom call in under 3 minutes.

How to Design UX for AI: The Bookending Method in Action

A practical application of the powerful and highly practical “Bookending” design brainstorming method that should be an essential tool in the toolbelt of any designer working on UX for AI projects.

Essential UX for AI Techniques: Vision Prototype

What makes a Vision Prototype such an essential tool for AI projects. Practical "dos and don'ts" for building one.

The Art of AI Conversation: AI Chat Pattern (ChatGPT vs. Grammarly GO)

With ChatGPT being all the rage, you’d think the AI chat design pattern would be so easy as to be self-explanatory. Not quite.