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
"Design systems should capture the reality of your organization, documenting how you work now and where you want to go."
Dan Mall“Ask Me Anything” with Dan Mall, Author of Upcoming Rosenfeld Title, Design that Scales
October 2, 2023
"Agile needs a brain, and that brain is the continuous customer feedback loop."
Bill ScottLean Engineering: Engineering for Learning and Experimentation in the Enterprise
May 14, 2015
"When the world outside is crazy, the team needs to know that at least design ops has things under control internally."
Maggie DieringerCreating Consistency Through Constant Change
January 8, 2024
"Understanding how assistive technology evolves is crucial because it foretells the future of interface design."
Lija Hogan Milan Mijatovic Sam Proulx Louis RosenfeldThree Years Out: Perspectives on the Near-Term Future of User Research
March 15, 2024
"I think we all know no matter if you’re new to this work or you’ve been doing it for years, we’re always still learning."
Ariel KennanTheme Two Intro
November 17, 2022
"It seemed just like yesterday that I was talking with Dave Malouf. He dropped that term design ops on me."
Bria Alexander Louis RosenfeldWelcome
September 8, 2022
"It's overly simple to say designers are scared AI will replace them — the real challenge is responsible adoption."
Changying (Z) ZhengNavigating Innovation with Integrity
September 25, 2024
"Screen readers have two modes: browse mode for navigating content and focus mode to interact with form fields or apps."
Sam ProulxEverything You Ever Wanted to Know About Screen Readers
June 11, 2021
"Sentient design is about proposing direction without imposing it—laying a road in front of the user, but letting them choose."
Josh Clark Veronika KindredSentient Design: New Design Patterns for New Experiences (3rd of 3 seminars)
February 12, 2025
