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
"User experience is shaped not just by product interaction but also by pricing, promotion, distribution, and brand communications."
Nicole Aleong Michaela Mora Prayag Narula Brianna SylverWhat UX research can learn from other research practices [Advancing Research Community Workshop Series]
September 14, 2023
"Dunbar's number explains why groups around 150 people work best as communities."
James LangIf you can design an app, you can design a community
May 22, 2025
"It’s good practice to offer one-on-one interactions with older adults due to their learning preferences."
Rittika BasuAge and Interfaces: Equipping Older Adults with Technological Tools
February 23, 2023
"If you say you won’t use AI, that’s even more reason to use it so you can debate the ethics intelligently."
Tom Armitage Carla Diana Kanene Ayo HolderDay 2 Panel: Looking ahead: Designing with AI in 2026
June 11, 2025
"Being fluent in multiple data languages and understanding behavioral and attitudinal data will be essential."
Lija Hogan Milan Mijatovic Sam Proulx Louis RosenfeldThree Years Out: Perspectives on the Near-Term Future of User Research
March 15, 2024
"When working with an agency, the quoting process takes about two weeks before recruitment even starts."
Lily Aduana Savannah Hobbs Brittany Rutherford5 Reasons to Bring Your Recruiting in-House (and How To Do It)
March 12, 2021
"Multiple payment providers aren’t just a feature; they’re an accessibility lifeline for people who can’t read or reach their credit card easily."
Sam ProulxOnline Shopping: Designing an Accessible Experience
October 3, 2023
"AI trust will grow when AI can provide back-and-forth justifications like a human would in conversation."
Joel BranchHumanizing AI: Filling the Gaps with Multi-faceted Research
March 11, 2021
"Some teams were going rogue or skipping research altogether."
Marjorie Stainback Kelsey KingmanTransforming Strategic Research Capacity through Democratization
October 24, 2019
