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
"We risk deskilling users and overreliance, where people rubber stamp AI output without critical thought."
Christopher NoesselAI of the now: Designing for Agents
July 31, 2024
"Onboarding isn’t a one-time activity, it’s an ongoing event that helps people connect and find their place."
Allison SandersOperating with Purpose
January 8, 2024
"Flour is the core structure of our relationships. Like gluten makes dough stronger, background research makes relationships stronger."
Deirdre Hirschtritt Cesar Paredes Marie PerrotResearch is Only as Good as the Relationships You Build
November 17, 2022
"Mental health challenges are now the norm among employees across all organizational roles."
Alla WeinbergWorkers Are Sick of Change: The Cure is Psychological Safety
June 6, 2023
"The biggest leverage of design is through communication and storytelling."
Dolly ParikhExit Interview #7: Journey of a Social Entrepreneur
May 21, 2026
"An insight is an important learning about people, our applications, or the world that helps us make an informed decision about a project, roadmap, or program."
Etienne FangPower of Insights: Why sharing is better than silos with Uber’s Insights Platform
December 16, 2019
"A Slack bot that sends random customer quotes encourages ongoing learning and discovery."
Crystal YanBuilding a Customer-Centric Culture
March 30, 2020
"Travel is impactful to let your remote teammates experience your context, which helps build empathy."
Jilanna WilsonDistributed DesignOps Management
February 26, 2019
"No one sees the end-to-end metrics of research impact, so the work remains invisible at the corporate level."
Fatimah RichmondThe Future of ReOps as a Strategic Function: A Roadmap for Getting There
March 25, 2024