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
"Consistency means the same interactions always do the same things; buttons are in the same place, and flows don’t change suddenly."
Sam ProulxOnline Shopping: Designing an Accessible Experience
November 29, 2023
"Check the people on the board and the advisors because that tells you a lot about the company’s true values."
Max Gadney Andrea Petrucci Joshua Stehr Hannah WickesAssessing UX jobs for impact in climate
August 14, 2024
"Most leaders measure team happiness by how much people are smiling or laughing, but that’s really a poor metric."
Shipra Kayan Tess DixonHow Tess Dixon Facilitates Team Engagement and Collaboration at Condé Nast Using Miro
October 1, 2021
"The journey metaphor is better than the sprint because transformation doesn’t have a finishing point."
Bob Baxley Sara Asche Anderson Sharon Bautista Frank Duran Jamie Kaspszak Abbey Smalley Sylas SouzaTheme 4: Discussion
January 8, 2024
"Human tasks will become more complex and multi-dimensional as simple tasks get automated."
Janaki KumarInnovate with Purpose
June 14, 2018
"We constantly collect feedback to improve our community and design practice because iteration is key to impact."
Lona MooreScaling Design Beyond Designers
June 11, 2021
"Plans tend to be worthless but the planning process is incredibly invaluable."
Giff ConstableFinancial fluency for product leaders: AMA with Giff Constable
April 11, 2024
"Today’s problems come from yesterday’s solutions."
Meghan Hellstern Joanne DongThe Next 100 Years of Civic Design: How Might We Better Rise to Meet the Challenges of Today and Tomorrow?
December 10, 2021
"A task where AI adds a little something is honestly easier to get right than one where it’s absolutely critical."
Sarah BarrettAI in Real Life: Using LLMs to Turbocharge Microsoft Learn
February 13, 2025
