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.
Sentient Design: New Postures for AI-Mediated Experiences (2nd of 3 seminars)
This video is featured in the AI and UX playlist and 2 more.
Summary
How do you get your head around all the different machine-intelligent experiences available to you as a designer? What are the new design patterns, and which old ones fall away? How do you name and organize those experiences? And how do you develop an intuition for how and when to use each interaction paradigm? Watch Josh Clark and Veronika Kindred, authors of our forthcoming book Sentient Design, explore the emerging diversity of AI-mediated experiences. Just as the natural world demonstrates intelligence in many forms, the same is true for machine intelligence. New “species” of interfaces roam our screens, the manner of each tailored to purpose and environment—copilots, agents, chatbots, assistants, tools, adaptive interfaces, and many more. Sentient Design offers a framework for exploring and organizing these new experience patterns, or “postures”—the way each kind of experience positions itself in relation to the user. More than just distinct functionality, each posture has its own interaction style, manner of communication, and expectations that it sets. Josh and Veronika share over a dozen of these postures, from familiar options like dedicated tools to more exotic patterns including sculptors, bespoke UI, non-player characters, and data whisperers. Get a map for exploring these postures to expand both your perspective and your toolkit as a designer.
Key Insights
-
•
Sentient Design reframes AI as a design material that enables adaptive, context-aware experiences rather than just a tool for output generation.
-
•
The Sentient Triangle categorizes AI experiences by grounded accuracy, interoperability, and radical adaptivity to better understand their trade-offs.
-
•
Four key interface postures—tools, sculptors, assistants, and agents—describe how AI interfaces relate to users, from simple inputs/outputs to autonomous task management.
-
•
Traditional deterministic tools like Shazam remain powerful but represent early-stage AI experiences compared to more interactive and adaptive forms.
-
•
Inline tools integrate AI assistance seamlessly within user workflows, offering continuous and ambient support without breaking context.
-
•
Sculptor interfaces enable iterative collaborative content creation, exemplified by in-painting in image and audio editing.
-
•
Chat-based characters and personas excel in creative, exploratory scenarios where factual accuracy is less critical than engagement.
-
•
Agents increasingly perform delegated tasks autonomously but currently face challenges with brittle, slow, and complex multi-step workflows.
-
•
Bespoke UIs dynamically generate or rearrange interface components in real-time tailored to user intent, enhancing flexibility and personalization.
-
•
Designers must embrace AI’s inherent weirdness and unpredictability as an asset, balancing risk and opportunity to create new interaction paradigms.
Notable Quotes
"Sentient design is about intelligent interfaces that are aware of context and intent so they can be radically adaptive to user needs in the moment."
"We think of AI not just as a maker of stuff but as an enabler of experiences."
"These intelligent interfaces are collaborative, proactive partners on the user’s journey."
"Traditional software is grounded—accurate and reliable—but lacks radical adaptivity."
"In-painting allows precise, targeted edits that don’t disturb the rest of the content."
"Characters live at the extreme of radically adaptive AI—they react in the moment and follow the user’s lead."
"Assistance interfaces combine open-ended dialogue with the ability to do tasks on your behalf."
"Agents set goals, plan steps, execute them, and decide when they’re done, often without user attention."
"Bespoke UI can generate interfaces on the fly based on immediate need or intent."
"Embracing AI’s weirdness can turn unpredictable outputs into experience assets rather than liabilities."
Or choose a question:
More Videos
"Excessive messaging leads to change fatigue, especially during times like a pandemic."
Sara Asche Anderson Jamie KaspszakNot Your Ordinary Re-Brand: Design's Path to Driving Customer Obsession at Best Buy
January 8, 2024
"Vision is a co-owned artifact created by the VM, design lead, and engineering lead."
Satyam KantamneniDo You Have an Experience Vision?
March 23, 2023
"If roles and responsibilities aren’t clear, scope starts to grow legs and we end up on rabbit holes that dilute the original project."
Séamus ByrneAligning Teams with Choreography
January 8, 2024
"Being able to see faces and first names of people we're learning from makes those users tangible to the team."
Catherine DubutBridging Physical and Digital Spaces: Approaches to Retail Service Design
March 18, 2021
"The old way is over. It's over."
Erika FlowersThe Handoff is Dead: Design-Led Engineering with AI Agents
March 4, 2026
"The enterprise wants agencies to do the work as efficiently and independently as possible."
Melinda BelcherBridging the Gap: Making the Most of the Differences Between Agency and Enterprise
January 8, 2024
"How do we train AI models to prevent bias and preserve privacy, especially considering disability data is often seen as medical data?"
Sam ProulxTo Boldly Go: The New Frontiers of Accessibility
November 18, 2022
"Show don’t tell is really critical for getting stakeholder buy-in on a new tool like this."
Michelle Bejian Lotia Anne-Marie MorellRolling Out a Repository: How Zapier Centralizes Insights from Across their Organization
March 28, 2023
"We review over 10,000 candidates and select less than 1% for hiring into the IBM design program."
Adam CutlerPeople + Places + Practices = Outcomes
June 8, 2016