Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› With UX and AI, Context is Everything with Sarah Gibbons and Kate Moran of Nielsen Norman Group

With UX and AI, Context is Everything with Sarah Gibbons and Kate Moran of Nielsen Norman Group

by Josh Tyson
1 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

Our guests on the Invisible Machines podcast this week are Sarah Gibbons and Kate Moran of Nielsen Norman Group. As the Vice President of NN/g, Sarah shares insights from a recent exploration of anthropomorphism and generative AI. Kate Moran is VP of Research and Content and has done extensive explorations of interaction design and digital content. As leaders at a vanguard firm that’s been at the forefront of experience design for decades, Sarah and Kate have a unique perspective on all the activity at the intersection of UX and AI.

Robb and Josh welcome these bright minds from NN/g for a conversation that explores the changing nature of user research and the importance of involving real humans, the need to balance conversational AI with micro UIs in design, how the future role of the designer is going to center around solving complex problems, and the critical role of curation in a world that’s being flooded with content.

Give it a listen! You can choose your favorite podcast streaming platform here.

post authorJosh Tyson

Josh Tyson
Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

How is AI really changing the way designers work, and what still depends on human skill? This honest take cuts through the hype to show where AI helps, where it falls short, and what great design still demands.

Article by Oleh Osadchyi
The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
  • The article explores how AI is reshaping designers’ workflows, offering speed and support across research, implementation, and testing.
  • It argues that while AI is useful, it lacks depth and context — making human judgment, critical thinking, and user insight indispensable.
  • It emphasizes that core design principles remain unchanged, and designers must learn to integrate AI without losing their craft.
Share:The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
9 min read

AI won’t take the blame — you will. In the age of automation, real leadership means owning the outcomes, not just the tools.

Article by Anthony Franco
The AI Accountability Gap
  • The article reveals how AI doesn’t remove human responsibility — it intensifies it, requiring clear ownership of outcomes at every level of deployment.
  • It argues that successful AI adoption hinges not on technical skills alone, but on leadership: defining objectives, managing risks, and taking responsibility when things go wrong.
  • It emphasizes that organizations able to establish strong human accountability systems will not only avoid failure but also accelerate AI-driven innovation with confidence.
Share:The AI Accountability Gap
4 min read

Forget chatbots — Agentic AI is redefining how work gets done. Discover the myths holding businesses back and what it really takes to build AI with true agency.

Article by Josh Tyson
Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
  • The article reframes Agentic AI not as a tool, but as a strategic approach to automating high-value tasks through orchestration and dynamic objectives.
  • It argues that success with Agentic AI lies in starting small, experimenting quickly, and integrating agents around outcomes — not traditional workflows.
  • The piece emphasizes the need for open, flexible platforms that enable multi-agent collaboration, rapid iteration, and seamless integration with legacy systems.
Share:Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
8 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and