Human Tech

Dean Barker visits the show to talk about his new book "Advance: How To Move Your Business Forward With Design Strategy"

We are here to take AI Seriously this time, but for real. This is Part 5 of a multi-part series. We want to have a realistic talk about AI and how it relates to UX while avoiding some pitfalls.

We move on to industry-level replacement AI, and specifically how it may impact the UX field.

We are here to take AI Seriously this time, but for real. This is Part 4 of a multi-part series. We want to have a realistic talk about AI and how it relates to UX while avoiding some pitfalls.

We continue our conversation about step 3 AI which is about doing tasks that experts used to do, but the expert is still involved. We cover what this might mean for trust, and the workplace.

We are here to take AI Seriously this time, but for real. This is Part 3 of a multi-part series. We want to have a realistic talk about AI and how it relates to UX while avoiding some pitfalls.

We have a conversation about step 3 AI which is about doing tasks that experts used to do, but the expert is still involved. We have a detour to talk about profit and Figma.

We are here to take AI Seriously this time, but for real. This is Part 2 of a multi-part series. We want to have a realistic talk about AI and how it relates to UX while avoiding some pitfalls.

We have a conversation about the next step in AI which is about super high level task automation.

We are here to take AI Seriously this time, but for real. This is Part 1 of a multi-part series. We want to have a realistic talk about AI and how it relates to UX while avoiding some pitfalls.

We start with a simple discussion of frivolous uses of AI. We start by laying out the path, and talking about the simple and fun uses.

We discuss embodied cognition, a large part of the human experience that often goes under-talked about in UX circles.

We discuss a common issue UXers are facing, too often they spend all their time in the tool designing screens, and no time doing UX work.

How should UXers deal with designing around errors? Why is it so hard to have designs with good error flows?

With the US Election season coming to a close we try to talk about some of the potential pitfalls of the UX of voting, and how the mental models are quite weird. We don't get through it all.