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
"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
"Your job is a tool to get what you want out of life. Don’t make it more than that."
Corey Nelson Amy SanteeLayoffs
November 15, 2022
"If someone doesn’t know their question, the recommendation is an in-depth interview because it’s the easiest and most versatile method."
Julia CowingFrom Researcher to Builder: Vibe Coding Tomer Sharon's Method Finder
July 23, 2026
"There’s two variables in impact: the number of people I’m touching and what impact I’m having on them."
Bob BaxleyLeading with Design Operations Past and Present
December 19, 2019
"Attrition is real and painful but also an opportunity if we have a deep and broad hiring funnel."
Jennifer Bolduc Diane Gregorio Emily DayWhat's involved with getting people back to work?: A panel discussion
July 1, 2021
"You have to learn to read the room and understand what drives the people you’re working with to build coalitions."
Mariah Hay Marina Martin Husani Oakley Eduardo OrtizBUILD: Discussion
June 14, 2018
"Current projects mostly focus on collecting complaints rather than understanding the state."
Onur Kocan Ayhan EnsiciUnderstanding the Strategy for Civic Design in a Complex City: Istanbul
November 16, 2022
"Many magnification tools also have screen reader functions to reduce eye strain and help users."
Sam ProulxSUS: A System Unusable for Twenty Percent of the Population
June 9, 2021
"Post-AU, I feared no one would synthesize or share what they learned because everyone got busy and distracted."
Melissa Schmidt Adam MenterHow UX Research Hit It Big in Las Vegas
June 4, 2019
