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
"AI is a design material, not just a tool or function you add to an experience."
Josh Clark Veronika KindredSentient Design, AI, and the Radically Adaptive Experience (1st of 3 seminars)
January 15, 2025
"Designers should not be left to figure things out alone as we grow faster."
Ebru NamaldiDesigning the Designer’s Journey: Scaling Teams, Culture, and Growth Through DesignOps
September 11, 2025
"There's quantitative, qualitative, generative, evaluative data and methods like AB testing—it can be overwhelming."
Uday GajendarTheme Four Intro
June 6, 2023
"Data is only as good as insights that come out of it and action."
Kristen Honey"Let’s Talk About Data and Crisis”: Public Digital Service Delivery = Open Data + Human Centered Design
November 18, 2021
"Design operators must create scaffolding that shapes design practice, not just produce deliverables."
Dave MaloufClosing Keynote: Amplify. Not Optimize.
October 24, 2019
"We need to transform our role as connectors between people, disciplines, and ideas that together make our work richer and more impactful."
Megan BlockerTheme 2 Intro
March 12, 2025
"We turned design thinking on ourselves to tackle our own hiring challenges—applying tools meant for customers to our own processes."
Libby MaurerTreating Diversity & Inclusion in Hiring as a Design Problem
December 5, 2019
"Solo Solver leaders don’t advocate for their team and delegate culture building to others."
Jason Mesut Martina Hodges-Schell Jose CoronadoUnmasking Design Leadership: Navigating leadership without neglecting ourselves
October 30, 2025
"Hiring for lived experience, not just academic credentials, changes the game."
Jennifer StricklandAdopting a "Design By" Method
December 9, 2021