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
"Design is not a blank slate; it is about respecting legacy and building on what was already done."
Carol MassaDesigning Health: Integrating Service Design, Technology, and Strategy to Transform Patient and Clinician Experiences
December 3, 2024
"Too often, futures imaginaries want to erase or align difference rather than reckon with it."
Devon PowersImagining Better Futures
March 9, 2022
"Design research should be involved in setting early policy vision, not just in delivering on it later."
Frances Yllana Ann Buechner Jess Jones Betsy RamacciaD.E.A.R.R. Diaries (Discipline, Experience, Architecture, Reflection + Revolution)
November 16, 2022
"Our aim is not just to demonstrate design’s value for growth, but to become an essential part of the company’s overall strategy."
Gonzalo GoyanesDesign ROI: Cover a Little, Get a Lot
September 8, 2022
"User obsession became a strategic goal after making data available and showing progress to leadership including our CFO."
Adel Du ToitGet Your CFO To Say: 'Our Strategic Goal is User Obsession'
June 10, 2022
"Power users would right click and open listings in new tabs to keep their place in search results."
Erin WeigelReal-world lessons to improve your conversion rates
June 26, 2024
"Shifting left means thinking about accessibility before you start writing code."
Samuel ProulxFrom Standards to Innovation: Why Inclusive Design Wins
September 10, 2025
"Designers hope to support the public in exercising agency and redistribute hegemonic power in public services."
Shanti Mathew Natalie Sims Natalia RadywylCivic Design at Scale: Introducing the Public Policy Layer Cake
December 9, 2021
"The ultimate purpose with AI-augmented note-taking is to think more effectively, not to outsource thought."
Jorge ArangoAI as Thought Partner: How to Use LLMs to Transform Your Notes (3rd of 3 seminars)
May 3, 2024