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
"The culture of business education has taught MBAs to be confident about many things that are simply not true."
Nathan ShedroffDouble Your Mileage: Use Your Research Strategically
March 31, 2020
"Design and climate is the most important collaboration that needs to happen to bring climate solutions into the world at scale."
Jamie Beck Alexander Nina Gregg Shawn Petersen Bill DeRoucheyHow can you find your role in climate?
January 17, 2024
"We realized there was no way to make sense of the conglomeration of sticky notes."
Francesca Barrientos, PhDYou Need Your Own Definition of Design Maturity
June 8, 2022
"Participants are paid based on purchasing power parity — $400 USD equivalent spread over six months for active participation."
Wyatt HaymanGlobal Research Panels
August 8, 2020
"When you’re new and inexperienced, asking for help feels like admitting you don’t belong, but really, it shows wisdom."
Dan WillisEnterprise Storytelling Sessions
June 8, 2016
"Human beings understand graphical user interfaces as composed of objects and actions—this grammar is key to AI design."
Daniel J. RosenbergDesigning with and for Artificial Intelligence
August 11, 2022
"We act as the connective tissue that runs in our teams and help them run more efficiently."
Jilanna WilsonDistributed DesignOps Management
February 26, 2019
"We actively coach Department of PFML staff to shadow and eventually run their own research sessions so they’re empowered long-term."
Lisa Spitz Nikki BrandBuilding Trust Through Equitable Research Practices
November 18, 2022
"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
