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
"How might we empower communities to initiate, lead, and design solutions that impact them directly?"
Meghan Hellstern Joanne DongThe Next 100 Years of Civic Design: How Might We Better Rise to Meet the Challenges of Today and Tomorrow?
December 10, 2021
"People outside of your design organization are making design decisions; they are also designers."
Dorelle RabinowitzThe Magic Word is Trust
June 15, 2018
"Effort doesn’t mean progress, hard work doesn’t guarantee a harvest."
Johnny MichaelsenMeasure Behaviors, Not Results
April 23, 2026
"Flow is different for each person; you have to adjust your style based on who you work with."
Ruzanna RozmanGetting in Flow with Your Team
January 8, 2024
"Showing a clickable prototype beats still wireframes and style guides where people have to copy hex codes."
Allan LowsonRehashing the Double Diamond: Collaborating across functions with AI-assisted prototyping
June 9, 2026
"Human behavior is anything but linear, rational, or predictable."
David SternbergUncovering the hidden forces shaping user behavior
July 17, 2025
"This day is focused on me, my job and my specific day-to-day challenges, not on some invisible finish line or senior title."
Bria AlexanderTheme Two Intro
October 3, 2023
"Ethics evolve faster than laws; just because something is legal doesn’t make it ethical."
Erin WeigelGet Your Whole Team Testing to Design for Impact
July 24, 2024
"Pilots and prototyping create evidence to inform decisions, making change more achievable and less risky."
Sheryl Cababa Alexis OhThinking in systems to address climate with Sheryl Cababa
June 12, 2024
