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
"Day one is all about ensuring craft on a massive scale, led by Uday Gahender."
Bria AlexanderOpening Remarks
June 9, 2021
"Change is fundamentally about people—our approach lives out agile principles in service design to create a team that can build."
Laura Smith Tom GaylerEmbedding Service Design and Agile Practice within UK Planning Teams to Create Services that Last
December 3, 2024
"There are over 7 billion futures of right now."
Nicole AleongFuture Orientations to Everyday Life: Futures Anthropology as a Methodology
March 26, 2024
"We want shared ownership and trust leading to community-led, informed, and sustainable outcomes."
Samuel MartinCo-Design vs Faux-Design: Navigating the Complexities of Sharing Power in Co-Design
March 27, 2026
"Knowledge gardening requires continuous nurturing — revisiting notes, expanding them over time, not just capturing and forgetting."
Jorge ArangoExploding the Notebook: How to Unlock the Power of Linked Notes (2nd of 3 seminars)
April 19, 2024
"Transparency is one of our key values, so everyone in the studio was involved in building and maintaining the evaluation system."
Ignacio MartinezFair and Effective Designer Evaluation
September 25, 2024
"The queen is not a decision-maker, she’s just there to reproduce."
Mariesa LenzWhat Beekeeping Taught me about Product Teams
October 29, 2025
"If you don’t measure if research is successful, what do we ultimately have to show for it?"
Chris Geison Cristen Torrey Eric MahlstedtWhat is Research Strategy?: A Panel of Research Leaders Discuss this Emergent Question
March 4, 2021
"We’re not in the identity business; let’s focus on e-commerce where the growth and customer value are."
Ted NewardTheme 4: Enterprise Organizational Journey
June 4, 2019
