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
"Careers as ladders are what HR wants, but careers aren’t linear; they should be a jungle gym."
Ian SwinsonDesigning and Driving UX Careers
June 8, 2016
"Re-platforming is transformative not just for the product but also for the people, teams, and organization."
Malini RaoLessons Learned from a 4-year Product Re-platforming Journey
June 9, 2021
"People say no, and it sucks the energy out of the room. Instead, offer three ideas to keep the ball moving."
Greg PetroffDesign is the Differentiator: Bringing New Design Innovations to a Very Antiquated and Very Large Industry
June 9, 2021
"Don’t read canned questions during interviews; make it conversational and human."
Corey LongHiring in DesignOps: A Critical Study on How to Hire and Get Hired
September 23, 2024
"You have to be very careful with audience participation: it must be consensual and overexplained to avoid vulnerability."
Cheryl PlatzMerging Improv with Design
March 7, 2019
"Early on, getting stakeholders to attend syncs felt like pulling teeth, but later it became their favorite meeting."
Elena Naids Liza McRuerThe Power of Difficult Conversations: A Case Study on How We Introduced Design Ops in the Federal Government Space
October 2, 2023
"Don't think constraints are real. Executives see them as excuses for not delivering."
Jess GrecoClaiming your power: Practical tools for amplifying your unique voice
March 13, 2025
"Self-care after trauma work includes debriefing, therapy, time off, and reconnecting with loved ones."
Uday Gajendar Rachael Dietkus, LCSW Dr. Dawn Emerick Dawn E. Shedrick, LCSWLeading through the long tail of trauma
July 7, 2022
"One hour of conversations between this engineer and customers was more impactful than weeks of debate."
Kit Unger Lada GorlenkoTheme 3 Intro
June 10, 2022
