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
"Black box decision making is a hallmark problem—information goes in, something comes out, but we have no clue why."
Joel BranchHumanizing AI: Filling the Gaps with Multi-faceted Research
March 11, 2021
"Design ops is becoming a strategic role, almost like an operations officer, linking together all different experiences within the organization."
Holly ColePanel Discussion: Growing People and Teams
November 8, 2018
"SAFe is very developer-centric and was originally designed for construction—the code production part of software."
Jack MoffettSAFe or Sorry?
May 29, 2019
"Successful collaboration with product partners with varied backgrounds is key to delivering great outcomes."
Louis RosenfeldFounder’s Welcome
December 6, 2022
"If you don’t know the type of trip, how do you choose your vehicle?"
Erika FlowersAI-Readiness: Preparing NASA for a Data-Driven, Agile Future
June 10, 2025
"In government projects, experimentation is the process of developing hypotheses and validating them through user research and iteration."
Ivana NgLevel Up Your Program with ProductOps
January 8, 2024
"Half the battle is having good questions and the right language to ask those questions."
Louis RosenfeldGenAI for UXers: A Rosenbot Demo and Discussion
June 11, 2025
"Making images and text more legible over complex backgrounds is both a tactical design and accessibility challenge."
Elizabeth ChurchillExploring Cadence: You, Your Team, and Your Enterprise
June 8, 2017
"This is probably the biggest change we are going to see within our working careers."
Robert Fabricant Sahibzada Mayed Nidhi Singh RathoreIndustry junctures: Paths forwards for UXR and the critical decisions that get us there [Advancing Research Community Workshop Series]
October 2, 2024
Latest Books All books
Dig deeper with the Rosenbot
What design strategies can support community-led rebuilding of maternal healthcare in rural maternity care deserts?
How does including metadata like methodology, market, and date improve the quality of research repository search results?
What role does vulnerability play in building customer trust and brand love?