Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
This video is featured in the Josh's test playlist playlist.
Summary
Rapid advances in Artificial Intelligence and machine learning are transforming the world in many ways. For the product designer or design strategy practitioner this megatrend manifests itself in 2 orthogonal dimensions: AI as a product design material – AI enables solutions that are smarter, faster and can answer questions well beyond human capability alone, but you must deploy them effectively and responsibly to be successful. AI designing the product for you – AI generation of competent oil paintings and music based solely on a set of input requirements has been repeatedly demonstrated in the past decade. Emerging AIs can design entire digital user experiences, code them, and deploy to the cloud with one button click. While AI automation can provide huge benefits in both megatrend dimensions it carries spectacular risk when deployed within life and death systems such as autonomous vehicles and medical products. Concurrently, generative AI for product design carries significant liability risk plus the potential of employment disruption for creative and strategic job careers.
Key Insights
-
•
AI in UX splits into using AI as a design material versus AI augmenting or replacing designers in creative processes.
-
•
Soft AI, which uses structured data and domain rules, is more explainable and suitable for critical applications like genomics than hard AI.
-
•
Trust and perceived credibility in AI-driven medical systems depend heavily on both explainability and interface design quality.
-
•
The genomics AI case analyzes massive, changing DNA variant data impossible for humans alone to process in real time.
-
•
Ben Schneiderman’s classification of AI as super tools or teammates helps frame AI’s role in augmenting human work.
-
•
Clean Software’s AI builds entire UX workflows and code through semantic interaction models, speeding up app development for enterprises.
-
•
Generative AI UX designs face risks like sameness and depend heavily on accurate, high-quality input data to avoid creating useless outputs.
-
•
AI can accelerate UX exploration by generating multiple alternatives quickly, supporting iterative design and decision-making.
-
•
Accessibility and localization best practices can be baked into AI-generated UX code automatically.
-
•
Ethical and regulatory oversight become crucial when AI influences high-risk decisions like clinical diagnoses.
Notable Quotes
"If you don’t trust it, then there’s nothing here."
"The AI is looking through material and that material’s changing every day."
"Visual design quality actually affects perceived trustworthiness."
"You can’t evaluate bias if the AI can’t explain itself."
"Garbage in, garbage out—if the requirements are wrong, the AI will instantly create a useless UX."
"You don’t want to game anybody here. This is persuasion by evidence, not by trickery."
"The marketplace is going to decide if it’s close enough in cost-benefit tradeoff."
"AI-generated UX is not about replacing designers, but removing grunt work to focus on higher-order design."
"Human beings understand graphical user interfaces as composed of objects and actions—this grammar is key to AI design."
"The future was already here. It’s just not evenly distributed."
Or choose a question:
More Videos
"We can't say with certainty what needs or pain points we missed when our recruits weren't demographically diverse."
Megan CamposWhat Did I Miss? The Hidden Costs of Deprioritizing Diversity in User Research
March 12, 2021
"One thing that sets high performers is psychological safety: do people feel safe to raise a flag when something’s not working?"
Alana Washington(Remote) Service Design: A Transformation Case Study
June 8, 2022
"Data is just single points; information is making that data meaningful through context."
Sarah CoyleDesign and Analytics with Sarah Coyle
July 30, 2020
"UX maturity can move backward after reorgs or leadership changes, which is frustrating but common."
Susan WeinschenkEvaluating the Maturity of UX in Your Organization
January 15, 2020
"Anybody making decisions about products should have regular exposure to researchers — Jared Spool’s exposure hours."
Jesse ZolnaInviting the Whole Org to Come See For Yourself
March 30, 2020
"Constraints during ideation sessions help avoid endlessly blue-sky thinking and keep ideas focused."
Billy CarlsonIdeation tips for Product Managers
December 6, 2022
"Accessibility is really just improving the usability for everyone, not just for people with disabilities."
Elana Chapman Li Wen Huang Divyen Sanganee Annabel WeinerGetting started with accessibility research
February 20, 2025
"Making something easier isn't necessarily always better and can create addictive behaviors."
Craig VillamorDesign Systems for Ethical Design
January 26, 2023
"The more detailed, the more you start siloing and confusing the whole project."
Billy CarlsonPrinciples of Team Wireframing
October 2, 2023
Latest Books All books
Dig deeper with the Rosenbot
How does co-creation across business, product, and marketing teams improve go-to-market strategy alignment?
What role does continuous learning and curiosity play in maintaining sustainable design practices?
What are effective methods to create feedback loops between strategy, orchestration, and implementation teams?