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
This talk is for product people, UX designers, researchers, and leadership preparing to work on AI products. How do we plan and build helpful and impactful AI products? What is different in this new world? Products that use AI as a core part of the experience are often very easy to prototype, but really hard to build and make actually useful and impactful. A lot of the knowledge on how to build these is locked up in foundation model companies and engineering teams in startups. Peter van Dijck, expert in both AI and IA, will provide an easy to understand framework for understanding how to think about this new world we all live in now, how to plan for effective, helpful and impactful AI products, how to think about model capabilities, AI architectures and evaluations. You will learn vocabulary and frameworks to understand what all the acronyms mean, and how to think about them.
Key Insights
-
•
AI product design is best understood through a model, context, and experience framework.
-
•
Models are stateless and require full context to be sent with each interaction.
-
•
Prototyping to explore model capabilities is critical before building full products.
-
•
Evals, automated and manual, are essential to measure model output quality and decide if it’s good enough.
-
•
Models gain enhanced abilities through post-training on specific capabilities like reasoning and conversational skills.
-
•
Synthetic data generation enables scalable training and evaluation by producing many good and bad examples.
-
•
Tool use and function calling empower AI agents to autonomously perform multi-step tasks.
-
•
Agents like Cloud Code gain product-market fit by making model reasoning and actions visible to build user trust.
-
•
UX principles remain vital in AI product development, especially when designing evals and assessing experience.
-
•
In high-risk domains, explicit risk identification and eval development are necessary, alongside clear ownership of go/no-go decisions.
Notable Quotes
"Today’s best AI products are designed by engineering first, but UX and product people have to join the party."
"Models are stateless; they take input and give output and forget everything immediately after."
"You want to trust the model, which means not overly instructing it but giving it the right context."
"Evals are the key to knowing when an AI’s output is good enough."
"Model companies post-train models on capabilities by showing them millions of good and bad examples."
"Tool use and function calling are what make agents possible, letting models call tools and reason through tasks."
"Synthetic data is exceedingly useful because you can generate it at scale for training and evals."
"The reason Cloud Code has such product market fit is because it shows what it’s doing, building trust."
"UX skills especially shine in defining realistic, user-centered evals and collaborating with experts."
"If a capability exists and is useful, it’s very likely the model will improve significantly on it over time."
Dig deeper—ask the Rosenbot:
More Videos
"It’s easier to create a better system that makes your old system obsolete than to change what is baked in."
Kristen Honey"Let’s Talk About Data and Crisis”: Public Digital Service Delivery = Open Data + Human Centered Design
November 18, 2021
"Screen reader users scored significantly lower in usability tests, reflecting the most effort in interpreting content."
Sam ProulxSUS: A System Unusable for Twenty Percent of the Population
December 9, 2021
"Swarm behaviors thrive on incomplete information and require no spectators, only participants."
Surya VankaUnleashing Swarm Creativity to Solve Enterprise Challenges
June 10, 2021
"Use tech checks before sessions to put participants at ease and build rapport early."
Amanda Kaleta-Kott Lea Martin, PhDThe Joys and Dilemmas of Conducting UX Research with Older Adults
March 11, 2022
"Language, language, language—using familiar company terms helped teams feel comfortable adopting and practicing the experience principles."
Sarah WilliamsVerizon_A Framework for CX Transformation
January 8, 2024
"The future is not a toy. Accountability matters deeply in how we construct futures."
Devon PowersImagining Better Futures
March 9, 2022
"Mastercard designers grew meaningfully for both people and business despite uncertainty."
Lada GorlenkoTheme 2 Intro
June 9, 2022
"If our body doesn’t feel safe, or we can’t share emotions, we won’t be able to think or do work effectively."
Alla WeinbergHow to Build and Scale Team Safety
January 8, 2024
"Bria is the bringer of dad jokes and the glue of the conference."
Louis Rosenfeld Bria AlexanderOpening Remarks
March 27, 2023
