Rosenverse

Log in or create a free Rosenverse account to watch this video.

Log in Create free account

100s of community videos are available to free members. Conference talks are generally available to Gold members.

Designing with and for Artificial Intelligence
Thursday, August 11, 2022 • Enterprise Community

This video is featured in the Josh's test playlist playlist.

Share the love for this talk
Designing with and for Artificial Intelligence
Speakers: Daniel J. Rosenberg
Link:

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."

Ask the Rosenbot
Courtney Maya George
Scale Your Organization and Grow Your Designers
2022 • DesignOps Summit 2022
Gold
Sam Proulx
Mobile Accessibility: Why Moving Accessibility Beyond the Desktop is Critical in a Mobile-first World
2022 • Advancing Research 2022
Gold
Kayla Farrell
What It's Like To Be a User Researcher at Compass
2021 • Advancing Research 2021
Gold
Tatyana Mamut
Opening Keynote: Breaking Conway's Law--or How to Work Differently and Not Ship Your Org Chart
2019 • Enterprise Experience 2019
Gold
John Cutler
Prioritization for designers and product managers (1st of 3 seminars)
2024 • Rosenfeld Community
Roy Opata Olende
How Zapier Uses ‘All Hands Research’ to Increase Exposure to Users
2020 • Advancing Research Community
Tala Tayebi
Voice and influence in an age of noise
2026 • Advancing Research 2026
Conference
Erika Kincaid
Connecting the Dots: How to Foster Collaboration and Build a Strong Design Review Culture
2022 • Design at Scale 2022
Gold
Laura Klein
Human vs. machine: Testing AI’s ability to synthesize and analyze research
2026 • Advancing Research 2026
Conference
Shipra Kayan
How Tess Dixon Facilitates Team Engagement and Collaboration at Condé Nast Using Miro 
2021 • DesignOps Summit 2021
Gold
Ariel Kennan
Civic Design in 2022
2022 • Civic Design Community
Helen Armstrong
Augment the Human. Interrogate the System.
2023 • Enterprise UX 2023
Gold
David Conrad
The Feeling of Data
2023 • Enterprise Community
Victor Udoewa
Radical Participatory Research: Decolonizing Participatory Processes
2022 • Advancing Research 2022
Gold
Angy Peterson
More Than Technology: Personalized Public Sector Experiences
2021 • Civic Design 2021
Gold
Sandra Camacho
Creating More Bias-Proof Designs
2025 • Rosenfeld Community

More Videos

Dan Willis

"Developers are stinking gods among men, generous in their selfishness who keep fixing what’s not broken until it is."

Dan Willis

Enterprise Storytelling Sessions

May 13, 2015

Peter Van Dijck

"Retrieval augmented generation is just adding results from a search into the model’s context to make it more grounded."

Peter Van Dijck

Designing AI-first products on top of a rapidly evolving technology

June 10, 2025

Chris Chapo

"Bringing data science into the core product process is like adding a fourth leg to the stool — design, development, product management, and data together create delight."

Chris Chapo

Data Science and Design: A Tale of Two Tribes

May 13, 2015

Jon Fukuda

"Often tooling is a vacuum particularly around insights repositories—everyone wants it or no one wants it."

Jon Fukuda Jake Burghardt Jose Coronado Natalie Dunbar Denise Tilles

All the Ops: Successful cross-functional collaboration

September 10, 2025

Christian Crumlish

"Leadership doesn’t necessarily mean managing people; it means scaling impact through teaching, training, and setting examples."

Christian Crumlish

AMA with Christian Crumlish, author of Product Management for UX People

March 24, 2022

Jim Kalbach

"Empathy is not a good starting point for innovation because it’s unstable and doesn’t provide a clear problem to solve."

Jim Kalbach

Jobs To Be Done

February 25, 2021

Jake Burghardt

"Tying insights directly into team backlogs or goals can transform research from information to active stakeholder in decisions."

Jake Burghardt

Finding More Inroads into Research Impact

February 20, 2026

Sydney Lawson

"Every single one of these companies has a landing page on their marketing website with a call to action to sign up."

Sydney Lawson

Anatomy of a Strong User Panel

March 10, 2026

Dean Broadley

"Don't be a pot plant, be a crab."

Dean Broadley

Not Black Enough to be White

January 8, 2024