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 AI and UX playlist.
Summary
What are AI-mediated experiences made of? What new interactions and UI patterns should be part of your toolkit? How do these new patterns support trust, critical thinking, usability, and accessibility? Watch Josh Clark and Veronika Kindred, authors of our forthcoming book Sentient Design, explore emerging best practices for the design of machine-intelligent experiences. The session focuses on the practical: new interaction patterns, functional patterns, and UI patterns for AI-powered interfaces. Meet the Pinocchio pattern, see how trait tags work, learn to nudge, become a master of inpainting, and so much more. Learn how these solutions are tailored to suit the curious qualities of machine intelligence. You’ll see how they build healthy mental models for users, creating realistic expectations for system capabilities. Plus, learn to use these new patterns to guide behaviors in ways that amplify user judgment and agency, instead of replacing them.
Key Insights
-
•
AI interfaces must balance open-ended prompts with guided 'nudges' or trait tags to reduce user discovery deficits.
-
•
Version vaults that track multiple AI-generated outputs help manage generation overload and encourage exploration.
-
•
AI systems are probabilistic and often confidently wrong, so designs must clearly communicate uncertainty and provide alternate scenarios.
-
•
Summarization of large data sets, especially product or hotel reviews, is an effective AI UI pattern to reduce cognitive load.
-
•
Users often mistakenly expect AI to provide a single true answer, but AI results more accurately represent a cloud of plausible answers.
-
•
Adaptive feed designs like the 'adventure nav' pattern give users agency to steer algorithmic content, avoiding monotony of typical feeds.
-
•
Sentient design embraces proactive but deferential AI assistance that offers smart defaults without overriding user control.
-
•
In high-stakes AI use (e.g., navigation), interfaces should transparently flag risks and uncertain recommendations to invite critical thinking.
-
•
Plugging in local or custom LLMs brings opportunities for privacy and energy efficiency but also UX challenges around complexity and model choice.
-
•
The future will involve managing and overseeing infant AI agents, requiring new UX paradigms for correction, validation, and goal setting.
Notable Quotes
"AI is supposed to make things easier, but it usually comes on with some knock on problems."
"LLMs don’t give you answers—they give you something that most likely resembles the fact you’re looking for."
"Discovery deficit happens when you don’t know what or how to do things in an AI system, often because of lacking affordances."
"Version vaults save multiple versions of work, letting users review, compare, and revert, which encourages exploration."
"Summarization isn’t just a feature—it’s becoming baked into experiences to help make sense of overwhelming information."
"There’s an illusion of one true answer with AI, but often there’s a cloud of plausible answers depending on how you ask."
"Adventure nav pattern gives users the agency to choose different paths in a feed, rather than consuming a single algorithmic stream."
"LLMs are always confident but not always correct, which makes it hard for users to know when to trust them."
"Sentient design is about proposing direction without imposing it—laying a road in front of the user, but letting them choose."
"When AI systems become unreliable, we need productive humility in our interfaces and ways to engage human agency."
Or choose a question:
More Videos
"When the whole team is trained in design thinking, they are measurably more aligned, more efficient, and more agile."
Doug PowellClosing Keynote: Design at Scale
November 8, 2018
"Matching researchers by language and culture makes children more comfortable and improves consent."
Mila Kuznetsova Lucy DentonHow Lessons Learned from Our Youngest Users Can Help Us Evolve our Practices
March 9, 2022
"What if I said that this was actually the assignment: to write an essay using AI, helping students become familiar with translating their policy intent through AI?"
Sarah GallimoreInspire Progress with Artifacts from the Future
November 18, 2022
"Stakeholders start demanding better digital experiences at work because they expect the same quality they have at home."
Lada Gorlenko Sharbani Dhar Sébastien Malo Rob Mitzel Ivana Ng Michal Anne RogondinoTheme 1: Discussion
January 8, 2024
"AI is just a better version of the tools you’re already using to refine ideas and express thoughts."
Alnie FigueroaThe Future of Design Operations: Transforming Our Craft
September 10, 2025
"Meaningfulness is linked directly to what your organization cares about in terms of goals and priorities."
Landon BarnesAre My Research Findings Actually Meaningful?
March 10, 2022
"Every workaround is a mini story of somebody overcoming an obstacle."
Emily EagleCan't Rewind: Radio and Retail
June 3, 2019
"There is no solid way to control the course of your re-platforming project; being flexible is essential."
Malini RaoLessons Learned from a 4-year Product Re-platforming Journey
June 9, 2021
"Design is not just aesthetics; it’s about what the product feels like, sounds like, and how it differentiates in the market."
Asia HoePartnering with Product: A Journey from Junior to Senior Design
November 29, 2023
Latest Books All books
Dig deeper with the Rosenbot
What role does service design play in accelerating organizational growth beyond project support?
What are de-risking sessions in service design and how do they help prepare stakeholders for co-creation?
Who are the multiple user types involved in designing services for public sector innovation portfolios?