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
"eBay cut the time it took to get answers from weeks to one day by integrating design with data analysis workflows."
Chris ChapoData Science and Design: A Tale of Two Tribes
May 13, 2015
"User-centered design methods can be used at every stage of policy making, from intention setting to evaluation."
Alexandra SchmidtWhy Ethics Can't Save Tech
November 18, 2022
"User research is unfortunately largely evaluative. It’s hard to understand how we contribute to problem solving."
Dr. Jamika D. Burge Jemma Ahmed Chris GeisonBridge Building across Research Disciplines
August 26, 2021
"One in four people in the United States have a disability."
Samuel ProulxFrom Standards to Innovation: Why Inclusive Design Wins
September 10, 2025
"DWI should stand for damn Warren's infertile machine because it was designed on Warren’s typos to solve Warren’s problem."
Samuel ProulxDesigning for Disability, Innovating for Everyone
March 11, 2025
"Insights are networked; they don’t exist independently beyond how they’re absorbed and acted on by others."
Jemma Ahmed Subhasree Chatterjee Robert Fabricant Alexandra Jayeun Lee Ben RobinsCollaboration: learning from other fields beyond our own [Advancing Research Community Workshop Series]
August 7, 2024
"Black people in general are sometimes looked at as disposable."
Emily Williams Nora FioreWhen UX Research and Institutional Racism Collide: A Case Study
March 12, 2021
"The trusted partnership between the chief of staff and the executive is critically important."
Isaac HeyveldExpand DesignOps Leadership as a Chief of Staff
September 8, 2022
"It's all about balance: being aware of AI’s issues while remaining open to its incredible opportunities."
Rachael Dietkus, LCSW Llewyn Paine Nishanshi Shukla David WomackAI: Passionate defenses and reasoned critique [Advancing Research Community Workshop Series]
September 18, 2024
