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
"Psychological safety means if I make a mistake on our team, the people won’t disconnect from me."
Alla WeinbergDesign Teams Need Psychological Safety: Here’s How to Create It
September 8, 2022
"The first impression is crucial as it triggers excessive unconscious processes that influence preferences."
Daniela Magaña Flores Ariane Rahn Jeff Ephraim BanderAhead of Competition: Learn What UX Benchmarking Can Do for Your Business Today
March 10, 2022
"Having a diverse team helps ensure you’re asking the right questions in research and design."
Lija HoganPractical Principles of Inclusive Research
March 27, 2023
"UX work done ahead of development is not un-agile; we draft blueprints before building."
Chris HodowanecAgile + User Experience: How to navigate the Agile landscape as an UX Practitioner
November 16, 2022
"When you need help, who do you go to in your network? Have you ever created a relationship map?"
Alana WashingtonTheme 1: Introduction and Provocation
January 8, 2024
"Designers are change agents. This is part of your passion and what gets you up in the morning."
Denise Jacobs Nancy Douyon Renee Reid Lisa WelchmanInteractive Keynote: Social Change by Design
January 8, 2024
"Super speed means enabling rapid onboarding by centralizing and streamlining a previously disparate process."
Kate Koch Prateek KalliFlex Your Super Powers: When a Design Ops Team Scales to Power CX
September 30, 2021
"Designers can design both at nano levels and interplanetary scales like Mars architecture."
Christian BasonExpand—Rethinking Design for Public Challenges
September 14, 2022
"Are you able to say I caused harm, and can you repair the relationships and impacts your work has created?"
Sahibzada MayedThe Politics of Radical Research: A Manifesto
March 27, 2023
