New talk: What UX practitioners need to know about AI as a research tool

I recently debuted a new talk on AI best practices for research. Here are the slides that got the biggest reaction:

▶ The courts are increasingly plagued by AI-hallucinated evidence, offering a concerning glimpse of what may await user researchers as we adopt AI tools. As researchers, how do we make it easier to identify where hallucinations are impacting our recommendations?

▶ The cutting edge for UX with AI is not synthesis, but disposable prototypes! This lets us test lots of ideas all at once, without committing prematurely to any of them. (Plus, disposability makes hallucinations a non-issue.) It’s a game changer for every UX role.

▶ We all need to understand how to evaluate AI ourselves for the tasks that matter most in our jobs.  So maybe that becomes a new type of Research Ops job, testing our tools and tailoring them to the specific needs of our organizations.

I love seeing the conversations that come out of presentations like this, and I’m aways encouraged to see how much UX and product folks care about getting AI right.

The talk is Working with AI: What UX practitioners need to know about AI as a research tool, and it's one of my most requested topics.

If you’re looking for an evidence-backed, AI+UX speaker for your organization, consider booking me for a talk (or workshop!).