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.
Designing with and for Artificial Intelligence
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're at a pivotal moment where technology can truly make a difference in sustainability."
Ash BrownSilver Linings: What DesignOps Learned in the Shift to WFH
October 23, 2020
"Expressing gratitude publicly and privately gives people a sense of purpose and acknowledges their contributions."
Michael PolivkaScaling Design through Relationship Maps
November 7, 2017
"We want to make sure researchers spend one hour in office hours, not eight to twelve hours a week helping others."
Mike OrenImproving Democratized Research with CustomGPTs and Gems
February 25, 2026
"Chief of staff roles can be the Whip who troubleshoots operational issues, the Quarterback who frees the chief design officer, or the Forward who drives strategic foresight."
Silke Bochat5 Antifragile Strategies for a DesignOps 2.0
September 23, 2024
"The final panel will be grounded in your input from this summit — we want to hear from you in the FigJam link."
Bria AlexanderOpening Remarks
September 9, 2022
"You don’t need to be in the same room to achieve something great."
Erika Kincaid Brenna Heaps Jessica TsukimuraConnecting the Dots: How to Foster Collaboration and Build a Strong Design Review Culture
June 8, 2022
"We still do a lot of coding transcripts by hand, and I’m not sure where the ideal digital intersection is."
Andrea GallagherThe Problem Space
May 16, 2019
"I was running on fumes for decades, doing more and more, with no time to breathe."
Tutti TaygerlyMake Space to Lead
June 12, 2021
"The time for talk has passed; we need immediate action and collaboration."
Alex Hurworth Bonnie John Fahd Arshad Antoine MarinDesigning a Contact Tracing App for Universal Access
October 23, 2020
Latest Books All books
Dig deeper with the Rosenbot
How can I unify multiple solar system apps into a single cohesive home energy management interface?
How can organizations prevent design system knowledge from being an undocumented API surface reliant on specific individuals?
How can visual artifacts like journey maps help uncover hidden organizational assumptions?