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.
Designing with and for Artificial Intelligence
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
"Only 12% of employees strongly agree their organization does a great job onboarding new employees."
Dante GuintuHow to Crush the Talent Crunch
September 8, 2022
"Machine intelligence can elevate experiences by easing frictions and amplifying human judgment and agency."
Josh Clark Veronika KindredSentient Design, AI, and the Radically Adaptive Experience (1st of 3 seminars)
January 15, 2025
"I myself career-wise went over to the dark side and became a product manager."
Christian CrumlishIntroduction by our Conference Chair
December 6, 2022
"Augmented reality is an entirely new paradigm and we haven’t quite figured out accessibility for that yet."
Sam ProulxMobile Accessibility and You
June 9, 2022
"Layoffs take on average two years to recover from the psychological trauma of losing a job."
Corey LongHiring in DesignOps: A Critical Study on How to Hire and Get Hired
September 23, 2024
"Anyone anywhere in an organization can lead as a servant leader if they have conviction to do so."
Kevin BethuneGatekeepers and Servant Leadership
January 30, 2020
"The more I work with evals, the more I think UX and product people need to be involved because of the need for diverse perspectives."
Peter Van DijckHands-on AI #2: Understanding evals: LLM as a Judge
October 15, 2025
"We don’t promise that every piece of feedback will show up in the product, but we keep partners informed about how their input influences development."
Tracy McGoldrickIBM User Experience Program—The What, Why and How
October 15, 2021
"Not everything that is faced can be changed, but nothing can be changed until it is faced – James Baldwin."
Kat VellosOpener: The Other L Word
January 8, 2024
