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 should feel empowered to propose research initiatives that stakeholders aren’t explicitly asking for."
Joanna Vodopivec Prabhas PokharelOne Research Team for All - Influence Without Authority
March 9, 2022
"What if prompts let you try things that might be messy or unrealistic but can inspire part of the final design."
Billy CarlsonIdeation tips for Product Managers
December 6, 2022
"Design ends up being a means to fix what development has already delivered."
Sabrina Mach Nina WainwrightHow to Design Your Design Operating Model
September 29, 2021
"A pragmatic product manager decides on strategy and roadmap clarity; flip-flopping kills momentum."
Meaghan Waters Fotina KoutropoulousLack of Product Thinking will Doom Your Legacy Modernization
June 9, 2021
"If you’re spending more time talking about titles, you’re not actually doing the design work."
Adam Cutler Karen Pascoe Ian Swinson Susan WorthmanDiscussion
June 8, 2016
"Without safety, human beings literally can’t think."
Alla WeinbergHow to Build and Scale Team Safety
January 8, 2024
"Onboarding feels like somebody's holding your hand, even though you're remote, which makes a huge difference."
Kim Holt Emma Wylds Pearl Koppenhaver Maisee XiongA Salesforce Panel Discussion on Values-Driven DesignOps
September 8, 2022
"Tell people the ingredients and instructions—clarify what we’re looking for and support them to do their best."
Mackenzie GuinonM.C. Escher’s UX Research Career Ladder
March 9, 2022
"Some AI companies charge for services even when their datasets are limited and can misrepresent certain populations."
Tom Armitage Carla Diana Kanene Ayo HolderDay 2 Panel: Looking ahead: Designing with AI in 2026
June 11, 2025
