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
"Without ongoing, deep investment in our education, we risk losing credibility with increasingly methodologically fluent stakeholders."
Jemma Ahmed Megan Blocker Eduardo OrtizRedefining the research toolkit: Expanding methodologies for a changing world
March 12, 2025
"Carbon is just the starting point for what can be imagined. We're hired for our expertise to adapt, not just follow directions."
Mitchell BernsteinOrganizing Chaos: How IBM is Defining Design Systems with Sketch for an Ever-Changing AI Landscape
September 29, 2021
"Everything you see on screen started with an RFP if you can believe it."
Emily LessardRFPs Without Tears: Writing Inclusive RFPS that Don't Scare Away Talent
December 9, 2021
"Creating systems that enable speed, quality, and agility without sacrificing creativity is a key element."
Jenny PriceFrom Tradition to Transformation: Unlocking Startup Agility in a Legacy Enterprise
September 10, 2025
"The sponge is really full — my brain is pretty full of lots of insights from the last couple of days."
Sarah Auslander Betsy Ramaccia Gordon RossInsights Panel
November 18, 2022
"Giving ChatGPT custom instructions is like training your alien."
Soma Ghosh Savina Hawkins Dave Hoffer Rob Thomas Victor UdoewaWhat emerging methods are advancing UX research [Advancing Research Community Workshop Series]
September 28, 2023
"If you can't get buy-in for collaboration between engineers and designers, start from the bottom and talk more early and often."
Charles Lee Jennie YipBuilding a New Home for the Atlassian Design System
October 22, 2020
"If diversity alone made research inclusive, then police could never be anti-black because they include black officers."
Victor UdoewaBeyond Methods and Diversity: The Roots of Inclusion
March 26, 2024
"Continuous feedback instead of just end-of-year reviews helps people understand their long-term goals and improve in the moment."
DesignOps and The Great Talent War of 2021
August 19, 2021
