Build a UX of AI Framework for Your Cross-Disciplinary Team with John Robertson

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?