UX folks are great at asking questions about AI and that’s exactly what we do in this episode. But “questions” sounds boring so we gave the set of questions a fancy name: a UX of AI framework. UX researcher John Robertson describes the UX of AI framework he and his team helped build.

In this episode, we talk about:

• The importance of a human-centered design approach to AI.
• The need to slow down and consider safety, privacy, and ethics as part of implementing AI.
• Looking beyond the data: each data point represents a human.
• The need to build and maintain trust in the AI user experience.
• Understanding how humans and AI can work as teammates and how that dynamic might play out.

John Robertson is a skilled UX researcher with a background in neuroscience and experience working at organizations such as American Airlines, IBM, and Visa. Currently he is a Senior Principal UX Researcher for a cybersecurity software company implementing quantitative and qualitative methods to create human centered security analyst experiences.

In the episode, we reference:

Analyzing Qualitative User Data at Enterprise Scale with AI: The GE Case Study by Jakob Nielsen

Do Users Write More Insecure Code With AI Assistants?