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
"The companies that will attract talent moving forward are those that are most flexible and give people choices."
Alla WeinbergWorkers Are Sick of Change: The Cure is Psychological Safety
June 6, 2023
"There was no meaningful difference between AI follow-up questions and static researcher questions in uncovering usability issues."
Erin Weigel Petra RajkovTesting and Experimentation Tools
March 12, 2026
"It’s not about the diagram, it’s about the dialogue."
Saara Kamppari-Miller"Prototype" vs "Prototype"--Breaking Down and Rebuilding Our Understanding of What We Do
October 24, 2019
"You have to pick your battles with stakeholders—fight the ones that really matter and let smaller issues slide."
Megan Blocker Amy Bucher Katie Hansen Ricardo Martins Nidhi Singh RathoreDay 2 Theme Panel
March 12, 2025
"Social media algorithms prioritize engagement over accuracy, exacerbating echo chambers and polarizing discourse."
Noah BondRedefining truth and inclusivity: Navigating data ownership and ethical research in the age of disinformation
March 11, 2025
"The economies of scale that benefited traditional media organizations have disappeared."
Patrick Boehler Madison KarasThe service shift: transforming media organizations to create real value through design
November 19, 2025
"There is no direct correlation between data size and energy consumed; many factors interplay."
Ned Gartside Mike Gifford Zoe Lopez-Latorre Tzviya SiegmanNavigating accessibility and climate
April 17, 2024
"Visualizing how a service was before and after a change opens the eyes of teams to redundancies and clarity."
Shreya Dhawan Victor Udoewa Xènia Viladas Florian VollmerMaking service tangible: the fastest path to higher performance
November 19, 2025
"Our users are all around us when we work in the civic and public sector."
Sha HwangThe First Fifty Years of Civic Design
November 16, 2022
