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.
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."
Dig deeper—ask the Rosenbot:
More Videos
"We were lost in the forest and you come across this compass, maybe all time rusty, but still something a little bit useful."
Benjamin RealMaturity Models: A Core Tool for Creating a DesignOps Strategy
October 1, 2021
"We are tired of fighting for that seat at the table."
Kit UngerTheme 1 Intro
June 8, 2022
"No matter where you sit on the political spectrum, it was hard not to be met with suspicion and distrust at every turn."
Robert FabricantShifting dynamics: The evolving relationship between researchers, participants, and organizational systems
March 11, 2025
"Victor is going to throw a wrecking ball through the idea of interviewing."
Jemma AhmedTheme 2 Intro
March 26, 2024
"Observation reveals needs users themselves haven’t recognized yet."
Prayag Narula Hannah HudsonEmpowering Designers to do Good Research
March 11, 2022
"The Stafford Act repairs infrastructure to pre-existing conditions, not better, which hampers resilience and meaningful long-term change."
Alicia D. JohnsonDisasters and the 21st Century
December 10, 2021
"User research is answering bigger questions now — not just if it works, but what we should build and who we should target."
Jemma AhmedBringing together market and user research
October 17, 2019
"If we’re going to design something and it can’t be the most simple and delightful experience, but at least minimally usable, then I will take that to get it in users’ hands."
How to Identify and Increase your "Experience Quotient"
June 15, 2018
"Prioritization is key—we have to say no and still be great partners to the company."
Sarah Alvarado Nalini P. Kotamraju Anne Mamaghani Peter MerholzHow to make UX research leadership more effective [Advancing Research Community Workshop Series]
October 26, 2023
