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
"Our goal is to automate routine tasks so designers can focus more on research, creativity, and innovation."
Farid SabitovAutomatization for Large Enterprise Teams
January 8, 2024
"Our job is really a lot of managing ambiguity and chaos. It’s just par for the course because a lot of that we do is in the explore and design phase."
Alnie FigueroaTeamwork: Strategies for Effective Collaboration with Other Program Management Teams
September 8, 2022
"Assume everybody has the potential for trauma to show up in any interaction you have with them."
Rachael Dietkus, LCSW Uday Gajendar Dr. Dawn Emerick Dawn E. Shedrick, LCSWLeading through the long tail of trauma
July 7, 2022
"Four me gestures happen in that personal gesture space and serve as thinking tools for the speaker."
Dane DeSutter Stephanie ScopelitisWhat co-speech gestures reveal about users’ thinking during interviews
June 30, 2023
"Enterprise is not a noun or a verb; you don’t say, I’m an enter-priser. That needs to be changed."
Miles OrkinCreativity and Culture
November 8, 2018
"We’re going to say fortunately, and she’s going to say a sentence. Then we say unfortunately, and he’s going to say a sentence connected to that sentence."
Dan WillisEnterprise Storytelling Sessions
June 8, 2017
"Executive air cover is having someone in a senior role who protects and supports the design team from other business pressures."
Dave GrayGroup Activity: Making Sense of DesignOps
November 7, 2017
"The design project tracker used 1900 Excel functions mostly for capacity planning in quarterly design cycles."
Peter BoersmaHow to Define and Maintain a DesignOps Roadmap
October 3, 2023
"As a designer and leader in this space, I've had to learn a lot about policy so I can come in and have really deep discussions with policy folks as a peer."
Toby HaugDiscussion
June 9, 2017
Latest Books All books
Dig deeper with the Rosenbot
In what ways is AI reshaping design practice and education, according to experts like TJ McLeish?
How can personal energy assessments and understanding control help in managing work stress and growth?
What are the challenges and opportunities posed by democratization of user research within organizations?