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 don’t need a north star, we need a constellation that allows us to see the full picture."
Jon Fukuda Ellie KryslDesign Planning and Management Support
October 3, 2023
"Culture isn’t just behavior over time, it’s the artifacts that culture creates and embraces over time."
Phil GilbertA Consistent Culture of Design
May 14, 2015
"Every job is a climate job. Wherever we are, the climate needs us to address it in our role."
Sara ConklinA UXer’s 12-Month Journey from Climate Concern to Climate Credibility
June 26, 2025
"Trauma is such a loaded word, and it’s a psychological experience shaped by our individual perception of an event."
Rachael Dietkus, LCSW Uday Gajendar Dr. Dawn Emerick Dawn E. Shedrick, LCSWLeading through the long tail of trauma
July 13, 2022
"The rise of Arcane legitimized something very important to players, showing how storytelling impacts emotional connection."
Dane DeSutter Natalie Gedeon Deborah Hendersen Cheryl PlatzBeyond the Console: The rise of the Gamer Experience and how gaming will impact UX Research across industries
May 17, 2024
"The timing is key—you want to interrupt them when they are in that flow state."
Marc Majers Tony TurnerInterrupted UX - Add A Dose of Reality To Usability Testing
March 11, 2022
"Balancing risk and confidence helps teams move at the right speed for the right decisions."
Sean McKayCoexisting with non-researchers: Practical strategies for a democratized research future
March 11, 2025
"Getting everyone to agree on what research should answer and in what order is where the fruitful back and forth happens."
Sarah Alvarado Nalini P. Kotamraju Anne Mamaghani Peter MerholzHow to make UX research leadership more effective [Advancing Research Community Workshop Series]
October 26, 2023
"Managing up and across started with lots of coffees and questions to build a mental model of the organization."
Rob Mitzel Sébastien MaloThe Tale of Two Companies: Building a Successful UX Practice in a Century-Old Enterprise
January 8, 2024
