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
"Personally, if I was gonna go into some aspect of UX research, I would jump in with both feet into research repositories."
Maria Rosala Shivanjali M.Research Repositories
March 12, 2026
"Conversations create new language, allowing us to see possibilities that old language couldn’t reveal."
Paul Pangaro, PhDSystems Disciplines: Table Stakes for 21st Century Organizations
June 6, 2023
"Your company is a service provider; your HR, IT, design, and security teams are all service providers."
Jeff SussnaWhat DesignOps Can Learn From DevOps
November 6, 2017
"Curiosity and asking lots of questions helps push boundaries and improve solutions."
Product and Design at Bloomberg: A 15-year Evolution
December 6, 2022
"We treat the design system like a software product with a backlog, QA, and a product owner prioritizing feature requests."
David Cronin Uday Gajendar Peter Morville Kendra ShimmellDiscussion
May 13, 2015
"Everyone has a plan until they get punched in the mouth, said Mike Tyson."
Adam ThomasSurvival Metrics – Making Change in a Fast, Data-Informed, and Politically Safe Way
December 6, 2022
"Man, oh man, what an incredible few days of learning and of the community that we have all had the opportunity to discover at Design at Scale."
Bria AlexanderOpening Remarks
June 11, 2021
"There’s an opportunity to fill in cracks around a research practice and accelerate the work people already do."
Gillian Salerno-Rebic Mark MicheliRedefining Speed and Scale: How Accenture’s GrowthOS Uses AI-Simulated Insights to Reduce Risk and Accelerate Innovation
June 10, 2025
"Collaboration is actually not anarchy in companies. There’s always this need for control."
Abby Covert Tomer SharonPanel: Collaboration Tools
November 6, 2017