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
"Data is expressive, but just because it’s a chart doesn’t mean the data is true or fair."
William Newton Jenny ChangHow to Lead With Data, and Without Data
June 7, 2023
"If a bot can’t handle the query, it goes to a human—it's like Mechanical Turk for AI."
Greg NudelmanDesigning Conversational Interfaces
November 14, 2019
"Reviewing decisions out loud held everyone accountable and made it harder for Jeff to forget or change his mind."
Darian DavisLessons from a Toxic Work Relationship
January 8, 2024
"We give out stickers for research participation, and people get really eager to collect them all and promote research to their teams."
Molly FargotsteinMultipurpose Communication & UX Research Marketing
September 12, 2019
"Scaling change starts at the margins and ripples from the periphery into the center of a system."
Hana NagelTurning Research Ripples into Waves
November 8, 2018
"Designers have a set of superpowers that give us a unique ability to envision a better future."
Doug PowellDesignOps and the Next Frontier: Leading Through Unpredictable Change
September 11, 2025
"Educating design leaders on setting expectations for Design Ops roles is critical to avoid 'teams of one' who are expected to do everything."
Dave Malouf Meredith Black Farid SabitovThe Past, Present, and Future of DesignOps: a 2-part DesignOps Community Call (Part 1)
February 17, 2022
"Customer obsession is actually one of our key values, which makes my job as a researcher a little bit easier."
Joanna Vodopivec Prabhas PokharelOne Research Team for All - Influence Without Authority
March 9, 2022
"You have to have a point of view, and you have to lead in order to get that impact in strategic foresight."
Sam LadnerHow Research Can Drive Strategic Foresight
March 9, 2022
