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
"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
"The Etsy postmortem is not about blame, it’s about open-ended discovery and learning to do better next time."
Louis RosenfeldDiscussion: What Operations can teach DesignOps
November 6, 2017
"The challenges we face are real, but so is our capacity to respond creatively and courageously."
Brendan JarvisIt was the Best of Times. It was the Worst of Times.
September 25, 2024
"We’re doing an experimental open session at the end of the day to just shoot the breeze about UX, enterprise, and the state of the world."
Louis RosenfeldWelcome / Housekeeping
June 7, 2023
"Key results must be measures of human behavior and outcomes, not output metrics like 'launch this service'."
Jeff GothelfWho does what by how much?
November 20, 2025
"We have an imperative to break down silos within and across different teams in research and outside it."
Jemma AhmedTheme Three Intro
March 29, 2023
"Have a majority of the research team members experienced a sustained and sustainable shift in power?"
Victor UdoewaRadical Participatory Research: Decolonizing Participatory Processes
March 9, 2022
"If we want research to thrive, we need to equip ourselves with more tools, not fewer."
Megan BlockerTheme 2 Intro
March 12, 2025
"We had conversations with donors over dinners and asked about their vision for innovation and future impact—it’s about asking the right questions."
Liz EbengoThe Burden on Children: The Cost of Insufficient Post-Conflict Services and Pathways Forward
December 4, 2024
Latest Books All books
Dig deeper with the Rosenbot
What are effective ways to include people with disabilities in generative and usability research?
How can AI enable product managers and designers to participate more effectively in research and prototyping?
Who are the multiple user types involved in designing services for public sector innovation portfolios?