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
"We need to put the thinking back into design thinking."
Christian BasonExpand—Rethinking Design for Public Challenges
September 14, 2022
"The cult of the new and shiny drowns out the quiet call of the well established."
Sharon BautistaTime to Make the Donuts: How User Research Helped Bridge Disparate Teams
January 8, 2024
"I love getting other people in there. Shared ownership means people are going to reference it more often."
Gabrielle VerderberDocumentation Your Team Will Actually Use
October 3, 2023
"We encourage you all to be your own heroes and connect your own documents."
Jon Fukuda Ellie KryslDesign Planning and Management Support
October 3, 2023
"The average car today has 60 to 100 sensors generating a terrifying amount of data that will increasingly make its way to the cloud."
Hugh DubberlyProblems with Problems: Reconsidering the Frame of Designing as Problem-Solving
June 19, 2019
"We think about research as the magnetic field that attracts every part of the business into alignment around the customer."
Sofia QuinteroThe Product Philosophy Behind EnjoyHQ
March 10, 2021
"Don’t get stuck in the refinement stage too early."
Billy CarlsonIdeation tips for Product Managers
December 6, 2022
"I am usually the only designer on the team, and it gets difficult to get the information needed for design decisions."
Ruzanna RozmanGetting in Flow with Your Team
January 8, 2024
"I do an inventory first to make a long list, then I prioritize to make a shorter list, then distribute the work, coordinate progress, and finally measure the impact."
Peter BoersmaHow to Define and Maintain a DesignOps Roadmap
October 3, 2023
