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.
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
"The future is already here, it’s just not evenly distributed – Dave Maloof, highlighting uneven UX maturity and design ops adoption."
Abbey SmalleyToday’s Design Ops and Programs Landscape & Career Paths
October 4, 2023
"We’re trying to build a design operations role that balances top-down governance with bottom-up community building."
Michael LandEstablishing Design Operations in Government
February 18, 2021
"AI can be a great partner to humans if trained with fair and complete data, but we must be careful not to ship biased systems."
April ReaganLook, Think, Act: The Futures-Smart Design Organization
October 1, 2021
"We have to use the right methods and frameworks because design controls the world, and it must represent our ideals."
Alba VillamilStereotyped by Design: Pitfalls in Cross-Cultural User Research
March 30, 2020
"Sharing research should take more time than actually conducting it because socializing insights drives impact."
Bob Baxley Sara Asche Anderson Sharon Bautista Frank Duran Jamie Kaspszak Abbey Smalley Sylas SouzaTheme 4: Discussion
January 8, 2024
"Both iOS and Android have built-in screen magnification and voice control that don’t require extra software."
Sam ProulxMobile Accessibility: Why Moving Accessibility Beyond the Desktop is Critical in a Mobile-first World
November 17, 2022
"The more people know about HITS, the more they want to use it, though some teams have cultural resistance."
Matt DuignanHITS, Microsoft's internal human insight system: From research library to living body of knowledge
July 16, 2019
"Sponsor sessions are so great that people want recordings. They’re not sales pitches."
Uday Gajendar Louis RosenfeldDay 2 Welcome
June 5, 2024
"Civic action as proof of concept to get government moving, to get the wheels turning was really interesting."
Sarah Auslander Betsy Ramaccia Gordon RossInsights Panel
November 18, 2022