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
"Having design called out by the CEO in the sustainability impact report was a real high point for our team."
Chris HammondEmbedding sustainability into enterprise design and development: A journey towards "sustainability consciousness"
April 2, 2025
"Choose plain, everyday words over jargon to meet your audience where they are."
Bruce GillespieLearning from journalism: Balancing impactful communication with compassionate storytelling
March 13, 2025
"Lots of people have agents running, but they don't feel they’re really useful yet."
Tina WeisserWhen AI Agents Meet Reality. Service Design Lessons from a Pilot
February 26, 2026
"Digitaf changed the way parents experience early childhood by connecting them to affordable municipal services."
Sarah AuslanderIncremental Steps to Drive Radical Innovation in Policy Design
November 18, 2022
"Our folks are not looking for information about what are wireframes. They want information specific to your organization."
Gabrielle VerderberDocumentation Your Team Will Actually Use
October 3, 2023
"You have to tailor messages based on who the data is relevant to — whether you’re communicating up, down, or sideways."
Jules MonzaUse These Words and Count These Things
September 25, 2024
"Just assume we haven’t read it and keep it quick."
Jason MesutShaping design, designers and teams
November 8, 2018
"Always be getting feedback, even informally over coffee, or sending out surveys twice a year to improve and mature relationships."
Alnie FigueroaTeamwork: Strategies for Effective Collaboration with Other Program Management Teams
September 8, 2022
"AI is only going to increase consumption, so we must find efficient ways to handle it."
Tristin OldaniTurning awareness into action with Climate UX
January 16, 2025
