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
"My dog is tiny but had a huge impact – that’s how small research ops can have big impacts on the team."
Saskia LiebenbergStart Small for Big Impact
May 15, 2019
"Multimodal design is the design practice you probably don’t realize you’re doing already."
Cheryl PlatzDemystifying Multimodal Design: The Design Practice You Didn't Know You're Doing
April 4, 2024
"Hierarchy is almost subconscious — you can design for how our eyes are naturally drawn to elements."
Billy CarlsonPro-level UI Tips for Beginners
September 9, 2022
"Culture cannot be outsourced; leadership needs to own the journey and trust the process."
Steve ChaparroBringing Into Alignment Brand, Culture and Space
August 13, 2020
"Ethical technology governance means anticipating the long-term social impacts of technology today and acting to protect essential public goods."
Ilana LipsettAnticipating Risk, Regulating Tech: A Playbook for Ethical Technology Governance
December 10, 2021
"My last job outside this field was as a furniture salesman — flipping burgers or wrangling children, many started outside tech."
Chelsey GlassonExit Interview #3: Same as It Ever Was: What Leaving Tech Taught Me About Change
December 17, 2025
"Design ops is always swinging wildly between priorities, making partners wonder why invest if you’re always going this way or that."
John Calhoun Rachel PosmanTwo Sides of the DesignOps Coin: Teams Ops and Product Ops
January 8, 2024
"Everyone contributes to conflict; it’s not about right or wrong, but what each person is trying to protect."
Laura WeissTurn Down the Heat: 3 Ways to Handle Conflict in the Moment
November 20, 2024
"Most bad panels feel like a bunch of people showing up at the last minute without shared goals or preparation."
Louis Rosenfeld Jemma Ahmed Christian Crumlish Uday Gajendar Chris GeisonCoffee with Lou #3: What Makes for a Successful UX Conference Presentation?
May 2, 2024
