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
"People outside of your design organization are making design decisions; they are also designers."
Dorelle RabinowitzThe Magic Word is Trust
June 15, 2018
"Most of the primitives of how you do work are portable to climate tech from other industries."
Dem Gerolemou Alexis Oh Neef RehmanClimate technology fundamentals
May 15, 2024
"We want to build more social features around insights to encourage community discussion and connection."
Matt DuignanHITS, Microsoft's internal human insight system: From research library to living body of knowledge
July 16, 2019
"We cleared three weeks of calendars to detach and look at the big picture — that was our UX reboot."
Vasileios XanthopoulosA Top-Down and Bottom-Up Approach to User-Centric Maturity at Scale
January 8, 2024
"We are no longer just a collection of cars, we are a focused racing team ready to hit the track."
Tamara KartoziiaThink global, adapt local: how service design accelerated B2B market entry by 6 months
November 20, 2025
"There’s still a need for human insight to understand behavior and apply meaningful design decisions."
Erin MaloneUnderstanding the past to prepare for the future
July 19, 2024
"There is still so much work to be done: from dealing with climate change, protecting wildlife, rebuilding infrastructure, feeding the world, ending disease."
Janaki KumarInnovate with Purpose
June 14, 2018
"Listening deeply with no judgment allows you to start making profound invitations across silos."
Marc Rettig Julie Baher Phil Gilbert Nathan ShedroffDiscussion
May 14, 2015
"75% of cross-functional teams are dysfunctional because silos perpetuate themselves, even in cross-functional teams."
Alla WeinbergCross-Functional Relationship Design
December 6, 2022
